epoch:0/50000,train loss:0.77444514,train accuracy:63.903986%,valid loss:0.79153372,valid accuracy:66.495902%
loss is 0.791534, is decreasing!! save moddel
epoch:1/50000,train loss:0.77239870,train accuracy:63.020833%,valid loss:0.78670048,valid accuracy:66.809682%
loss is 0.786700, is decreasing!! save moddel
epoch:2/50000,train loss:0.78481514,train accuracy:62.724562%,valid loss:0.78847545,valid accuracy:66.692281%
epoch:3/50000,train loss:0.78696823,train accuracy:63.252944%,valid loss:0.78744054,valid accuracy:66.457480%
epoch:4/50000,train loss:0.79324011,train accuracy:61.897645%,valid loss:0.79570970,valid accuracy:66.091189%
epoch:5/50000,train loss:0.78865103,train accuracy:62.391493%,valid loss:0.79086632,valid accuracy:66.399846%
epoch:6/50000,train loss:0.78659904,train accuracy:62.323693%,valid loss:0.78720832,valid accuracy:66.636783%
epoch:7/50000,train loss:0.78410484,train accuracy:62.441972%,valid loss:0.78685706,valid accuracy:66.404649%
epoch:8/50000,train loss:0.78236674,train accuracy:62.768594%,valid loss:0.78801073,valid accuracy:66.293830%
epoch:9/50000,train loss:0.78655178,train accuracy:62.186934%,valid loss:0.78705498,valid accuracy:66.700820%
epoch:10/50000,train loss:0.78615777,train accuracy:62.229290%,valid loss:0.78947932,valid accuracy:66.522681%
epoch:11/50000,train loss:0.78657433,train accuracy:62.216467%,valid loss:0.78808775,valid accuracy:66.647456%
epoch:12/50000,train loss:0.78607507,train accuracy:62.159455%,valid loss:0.78694701,valid accuracy:66.455509%
epoch:13/50000,train loss:0.79063446,train accuracy:61.882926%,valid loss:0.80426240,valid accuracy:64.969079%
epoch:14/50000,train loss:0.79012243,train accuracy:61.942180%,valid loss:0.80142258,valid accuracy:65.073429%
epoch:15/50000,train loss:0.78874944,train accuracy:62.106898%,valid loss:0.80143402,valid accuracy:65.257588%
epoch:16/50000,train loss:0.78870280,train accuracy:62.219936%,valid loss:0.80012712,valid accuracy:65.505213%
epoch:17/50000,train loss:0.78839948,train accuracy:62.219455%,valid loss:0.79788676,valid accuracy:65.777265%
epoch:18/50000,train loss:0.79134858,train accuracy:61.896632%,valid loss:0.79658542,valid accuracy:65.891259%
epoch:19/50000,train loss:0.79177115,train accuracy:61.803952%,valid loss:0.79670878,valid accuracy:66.081583%
epoch:20/50000,train loss:0.79230927,train accuracy:61.682896%,valid loss:0.79564076,valid accuracy:66.476996%
epoch:21/50000,train loss:0.79262699,train accuracy:61.700994%,valid loss:0.79486880,valid accuracy:66.604182%
epoch:22/50000,train loss:0.79279693,train accuracy:61.689952%,valid loss:0.79394259,valid accuracy:66.737014%
epoch:23/50000,train loss:0.79157232,train accuracy:61.768050%,valid loss:0.79277727,valid accuracy:67.029542%
epoch:24/50000,train loss:0.79143592,train accuracy:61.716938%,valid loss:0.79160427,valid accuracy:67.162910%
epoch:25/50000,train loss:0.79156339,train accuracy:61.647767%,valid loss:0.79264674,valid accuracy:66.551564%
epoch:26/50000,train loss:0.79208344,train accuracy:61.593155%,valid loss:0.79210573,valid accuracy:66.632039%
epoch:27/50000,train loss:0.79280664,train accuracy:61.524044%,valid loss:0.79146942,valid accuracy:66.733296%
epoch:28/50000,train loss:0.79263968,train accuracy:61.463214%,valid loss:0.79066602,valid accuracy:66.809903%
epoch:29/50000,train loss:0.79177038,train accuracy:61.456069%,valid loss:0.78976078,valid accuracy:66.851520%
epoch:30/50000,train loss:0.79139472,train accuracy:61.543982%,valid loss:0.79443139,valid accuracy:66.530192%
epoch:31/50000,train loss:0.79131975,train accuracy:61.598626%,valid loss:0.79327671,valid accuracy:66.645188%
epoch:32/50000,train loss:0.79036995,train accuracy:61.681352%,valid loss:0.79219824,valid accuracy:66.828893%
epoch:33/50000,train loss:0.78991369,train accuracy:61.770534%,valid loss:0.79125946,valid accuracy:66.863925%
epoch:34/50000,train loss:0.78885177,train accuracy:61.815638%,valid loss:0.79030464,valid accuracy:66.873536%
epoch:35/50000,train loss:0.78819508,train accuracy:61.861853%,valid loss:0.78937802,valid accuracy:66.971553%
epoch:36/50000,train loss:0.78799496,train accuracy:61.895166%,valid loss:0.78860730,valid accuracy:66.933429%
epoch:37/50000,train loss:0.78739223,train accuracy:61.910189%,valid loss:0.78837672,valid accuracy:66.987638%
epoch:38/50000,train loss:0.78727418,train accuracy:61.857958%,valid loss:0.78808562,valid accuracy:67.014108%
epoch:39/50000,train loss:0.78734094,train accuracy:61.827021%,valid loss:0.78760829,valid accuracy:67.038294%
epoch:40/50000,train loss:0.78782128,train accuracy:61.789308%,valid loss:0.78741315,valid accuracy:67.000387%
epoch:41/50000,train loss:0.78793710,train accuracy:61.746652%,valid loss:0.78675765,valid accuracy:66.986546%
epoch:42/50000,train loss:0.78810868,train accuracy:61.734944%,valid loss:0.78637619,valid accuracy:67.026961%
loss is 0.786376, is decreasing!! save moddel
epoch:43/50000,train loss:0.78773364,train accuracy:61.732774%,valid loss:0.78656579,valid accuracy:67.046910%
epoch:44/50000,train loss:0.78740422,train accuracy:61.723656%,valid loss:0.78622414,valid accuracy:67.085895%
loss is 0.786224, is decreasing!! save moddel
epoch:45/50000,train loss:0.78712078,train accuracy:61.780039%,valid loss:0.78606957,valid accuracy:67.125690%
loss is 0.786070, is decreasing!! save moddel
epoch:46/50000,train loss:0.78704347,train accuracy:61.809571%,valid loss:0.78565546,valid accuracy:67.162158%
loss is 0.785655, is decreasing!! save moddel
epoch:47/50000,train loss:0.78809627,train accuracy:61.762978%,valid loss:0.78538252,valid accuracy:67.162953%
loss is 0.785383, is decreasing!! save moddel
epoch:48/50000,train loss:0.78823945,train accuracy:61.755490%,valid loss:0.78504205,valid accuracy:67.113531%
loss is 0.785042, is decreasing!! save moddel
epoch:49/50000,train loss:0.78859601,train accuracy:61.715919%,valid loss:0.78472986,valid accuracy:67.098105%
loss is 0.784730, is decreasing!! save moddel
epoch:50/50000,train loss:0.78880704,train accuracy:61.727186%,valid loss:0.78440593,valid accuracy:67.085543%
loss is 0.784406, is decreasing!! save moddel
epoch:51/50000,train loss:0.78903848,train accuracy:61.733012%,valid loss:0.78406710,valid accuracy:67.085534%
loss is 0.784067, is decreasing!! save moddel
epoch:52/50000,train loss:0.78898324,train accuracy:61.743531%,valid loss:0.78397007,valid accuracy:67.115730%
loss is 0.783970, is decreasing!! save moddel
epoch:53/50000,train loss:0.78888797,train accuracy:61.734161%,valid loss:0.78364482,valid accuracy:67.147655%
loss is 0.783645, is decreasing!! save moddel
epoch:54/50000,train loss:0.78857759,train accuracy:61.771657%,valid loss:0.78348063,valid accuracy:67.180514%
loss is 0.783481, is decreasing!! save moddel
epoch:55/50000,train loss:0.78919366,train accuracy:61.718143%,valid loss:0.78340342,valid accuracy:67.182240%
loss is 0.783403, is decreasing!! save moddel
epoch:56/50000,train loss:0.78910825,train accuracy:61.716664%,valid loss:0.78341479,valid accuracy:67.180535%
epoch:57/50000,train loss:0.78913751,train accuracy:61.752034%,valid loss:0.78378537,valid accuracy:67.165418%
epoch:58/50000,train loss:0.78890251,train accuracy:61.771140%,valid loss:0.78498469,valid accuracy:67.042929%
epoch:59/50000,train loss:0.78896279,train accuracy:61.761870%,valid loss:0.78639858,valid accuracy:66.885459%
epoch:60/50000,train loss:0.78921285,train accuracy:61.718379%,valid loss:0.78612743,valid accuracy:66.902798%
epoch:61/50000,train loss:0.78970415,train accuracy:61.668347%,valid loss:0.78591679,valid accuracy:66.972460%
epoch:62/50000,train loss:0.78973563,train accuracy:61.671573%,valid loss:0.78622306,valid accuracy:66.962456%
epoch:63/50000,train loss:0.78973822,train accuracy:61.700263%,valid loss:0.78634652,valid accuracy:66.878922%
epoch:64/50000,train loss:0.79013632,train accuracy:61.678860%,valid loss:0.78636884,valid accuracy:66.907905%
epoch:65/50000,train loss:0.79021645,train accuracy:61.680151%,valid loss:0.78652165,valid accuracy:66.899334%
epoch:66/50000,train loss:0.79110360,train accuracy:61.601047%,valid loss:0.78631057,valid accuracy:66.904973%
epoch:67/50000,train loss:0.79107130,train accuracy:61.604193%,valid loss:0.78608907,valid accuracy:66.908751%
epoch:68/50000,train loss:0.79193318,train accuracy:61.500834%,valid loss:0.78605635,valid accuracy:66.914647%
epoch:69/50000,train loss:0.79203771,train accuracy:61.485345%,valid loss:0.78631930,valid accuracy:66.905921%
epoch:70/50000,train loss:0.79192724,train accuracy:61.501710%,valid loss:0.78611489,valid accuracy:66.909526%
epoch:71/50000,train loss:0.79254759,train accuracy:61.455031%,valid loss:0.78604262,valid accuracy:66.937400%
epoch:72/50000,train loss:0.79238847,train accuracy:61.465313%,valid loss:0.78599386,valid accuracy:66.951704%
epoch:73/50000,train loss:0.79245303,train accuracy:61.465142%,valid loss:0.78582315,valid accuracy:66.998332%
epoch:74/50000,train loss:0.79349170,train accuracy:61.393720%,valid loss:0.78575282,valid accuracy:66.998975%
epoch:75/50000,train loss:0.79351133,train accuracy:61.391143%,valid loss:0.78559430,valid accuracy:67.012410%
epoch:76/50000,train loss:0.79362033,train accuracy:61.370327%,valid loss:0.78575366,valid accuracy:66.985410%
epoch:77/50000,train loss:0.79361148,train accuracy:61.378713%,valid loss:0.78574725,valid accuracy:66.975193%
epoch:78/50000,train loss:0.79337621,train accuracy:61.407956%,valid loss:0.78550497,valid accuracy:66.966208%
epoch:79/50000,train loss:0.79305447,train accuracy:61.426347%,valid loss:0.78533128,valid accuracy:67.059426%
epoch:80/50000,train loss:0.79293952,train accuracy:61.453720%,valid loss:0.78553838,valid accuracy:67.040927%
epoch:81/50000,train loss:0.79271673,train accuracy:61.460681%,valid loss:0.78526562,valid accuracy:67.036154%
epoch:82/50000,train loss:0.79249501,train accuracy:61.466245%,valid loss:0.78497415,valid accuracy:67.117599%
epoch:83/50000,train loss:0.79229118,train accuracy:61.477272%,valid loss:0.78473181,valid accuracy:67.117669%
epoch:84/50000,train loss:0.79238570,train accuracy:61.454004%,valid loss:0.78464602,valid accuracy:67.118642%
epoch:85/50000,train loss:0.79252108,train accuracy:61.429501%,valid loss:0.78545131,valid accuracy:66.915716%
epoch:86/50000,train loss:0.79282338,train accuracy:61.375888%,valid loss:0.78558922,valid accuracy:66.901469%
epoch:87/50000,train loss:0.79308658,train accuracy:61.359326%,valid loss:0.78570660,valid accuracy:66.850288%
epoch:88/50000,train loss:0.79311908,train accuracy:61.379076%,valid loss:0.78603689,valid accuracy:66.817813%
epoch:89/50000,train loss:0.79293044,train accuracy:61.392663%,valid loss:0.78605166,valid accuracy:66.848958%
epoch:90/50000,train loss:0.79276275,train accuracy:61.409933%,valid loss:0.78589241,valid accuracy:66.871679%
epoch:91/50000,train loss:0.79278169,train accuracy:61.410090%,valid loss:0.78580393,valid accuracy:66.850193%
epoch:92/50000,train loss:0.79336093,train accuracy:61.362153%,valid loss:0.78614323,valid accuracy:66.769539%
epoch:93/50000,train loss:0.79347581,train accuracy:61.358117%,valid loss:0.78611715,valid accuracy:66.741694%
epoch:94/50000,train loss:0.79433011,train accuracy:61.315253%,valid loss:0.78616778,valid accuracy:66.728052%
epoch:95/50000,train loss:0.79431825,train accuracy:61.306895%,valid loss:0.78661474,valid accuracy:66.699619%
epoch:96/50000,train loss:0.79454723,train accuracy:61.275773%,valid loss:0.78702313,valid accuracy:66.547395%
epoch:97/50000,train loss:0.79449788,train accuracy:61.269029%,valid loss:0.78696289,valid accuracy:66.546478%
epoch:98/50000,train loss:0.79448373,train accuracy:61.260076%,valid loss:0.78699577,valid accuracy:66.528244%
epoch:99/50000,train loss:0.79524127,train accuracy:61.206239%,valid loss:0.78703117,valid accuracy:66.477587%
epoch:100/50000,train loss:0.79523570,train accuracy:61.207165%,valid loss:0.78710418,valid accuracy:66.437191%
epoch:101/50000,train loss:0.79543612,train accuracy:61.169833%,valid loss:0.78737821,valid accuracy:66.420941%
epoch:102/50000,train loss:0.79615531,train accuracy:61.128828%,valid loss:0.78780049,valid accuracy:66.406872%
epoch:103/50000,train loss:0.79687711,train accuracy:61.085400%,valid loss:0.78821487,valid accuracy:66.376941%
epoch:104/50000,train loss:0.79748751,train accuracy:61.050455%,valid loss:0.78837015,valid accuracy:66.315988%
epoch:105/50000,train loss:0.79776422,train accuracy:61.008853%,valid loss:0.78855065,valid accuracy:66.294125%
epoch:106/50000,train loss:0.79779791,train accuracy:61.000832%,valid loss:0.78871582,valid accuracy:66.302953%
epoch:107/50000,train loss:0.79791382,train accuracy:60.985044%,valid loss:0.78896416,valid accuracy:66.304740%
epoch:108/50000,train loss:0.79784970,train accuracy:60.992866%,valid loss:0.78899951,valid accuracy:66.290749%
epoch:109/50000,train loss:0.79805114,train accuracy:60.962976%,valid loss:0.78913544,valid accuracy:66.277012%
epoch:110/50000,train loss:0.79816425,train accuracy:60.956779%,valid loss:0.78946824,valid accuracy:66.256484%
epoch:111/50000,train loss:0.79815607,train accuracy:60.941392%,valid loss:0.78947405,valid accuracy:66.264911%
epoch:112/50000,train loss:0.79864844,train accuracy:60.900276%,valid loss:0.78955692,valid accuracy:66.266276%
epoch:113/50000,train loss:0.79888868,train accuracy:60.869516%,valid loss:0.78950226,valid accuracy:66.317272%
epoch:114/50000,train loss:0.79892087,train accuracy:60.882906%,valid loss:0.79012530,valid accuracy:66.268933%
epoch:115/50000,train loss:0.79887548,train accuracy:60.899921%,valid loss:0.79022775,valid accuracy:66.262167%
epoch:116/50000,train loss:0.79907451,train accuracy:60.879726%,valid loss:0.79018796,valid accuracy:66.250153%
epoch:117/50000,train loss:0.79938675,train accuracy:60.880024%,valid loss:0.79118142,valid accuracy:66.089105%
epoch:118/50000,train loss:0.80024726,train accuracy:60.819613%,valid loss:0.79127183,valid accuracy:66.064002%
epoch:119/50000,train loss:0.80021081,train accuracy:60.812953%,valid loss:0.79147081,valid accuracy:66.065360%
epoch:120/50000,train loss:0.80119906,train accuracy:60.762610%,valid loss:0.79186481,valid accuracy:66.033143%
epoch:121/50000,train loss:0.80110424,train accuracy:60.771468%,valid loss:0.79189690,valid accuracy:66.036621%
epoch:122/50000,train loss:0.80105817,train accuracy:60.790124%,valid loss:0.79266732,valid accuracy:65.961636%
epoch:123/50000,train loss:0.80120342,train accuracy:60.788345%,valid loss:0.79261534,valid accuracy:65.952105%
epoch:124/50000,train loss:0.80129009,train accuracy:60.765217%,valid loss:0.79303448,valid accuracy:65.897746%
epoch:125/50000,train loss:0.80110080,train accuracy:60.777233%,valid loss:0.79316016,valid accuracy:65.844250%
epoch:126/50000,train loss:0.80112022,train accuracy:60.791779%,valid loss:0.79316616,valid accuracy:65.836170%
epoch:127/50000,train loss:0.80123096,train accuracy:60.772926%,valid loss:0.79306324,valid accuracy:65.833720%
epoch:128/50000,train loss:0.80120890,train accuracy:60.787499%,valid loss:0.79303174,valid accuracy:65.833095%
epoch:129/50000,train loss:0.80116399,train accuracy:60.788000%,valid loss:0.79295827,valid accuracy:65.829820%
epoch:130/50000,train loss:0.80186687,train accuracy:60.736375%,valid loss:0.79285066,valid accuracy:65.820630%
epoch:131/50000,train loss:0.80164915,train accuracy:60.737084%,valid loss:0.79280095,valid accuracy:65.850002%
epoch:132/50000,train loss:0.80150574,train accuracy:60.737995%,valid loss:0.79269062,valid accuracy:65.835503%
epoch:133/50000,train loss:0.80146755,train accuracy:60.725880%,valid loss:0.79281420,valid accuracy:65.827911%
epoch:134/50000,train loss:0.80148726,train accuracy:60.724512%,valid loss:0.79274494,valid accuracy:65.837792%
epoch:135/50000,train loss:0.80145432,train accuracy:60.718169%,valid loss:0.79273425,valid accuracy:65.836322%
epoch:136/50000,train loss:0.80135782,train accuracy:60.723117%,valid loss:0.79265895,valid accuracy:65.871332%
epoch:137/50000,train loss:0.80126630,train accuracy:60.719748%,valid loss:0.79270505,valid accuracy:65.869083%
epoch:138/50000,train loss:0.80107723,train accuracy:60.726935%,valid loss:0.79262481,valid accuracy:65.861522%
epoch:139/50000,train loss:0.80099821,train accuracy:60.731148%,valid loss:0.79258392,valid accuracy:65.866053%
epoch:140/50000,train loss:0.80088087,train accuracy:60.732250%,valid loss:0.79245998,valid accuracy:65.863889%
epoch:141/50000,train loss:0.80104233,train accuracy:60.718626%,valid loss:0.79237688,valid accuracy:65.856525%
epoch:142/50000,train loss:0.80097544,train accuracy:60.712476%,valid loss:0.79227824,valid accuracy:65.849532%
epoch:143/50000,train loss:0.80082499,train accuracy:60.732595%,valid loss:0.79217846,valid accuracy:65.842636%
epoch:144/50000,train loss:0.80091193,train accuracy:60.721749%,valid loss:0.79211189,valid accuracy:65.824265%
epoch:145/50000,train loss:0.80090281,train accuracy:60.714075%,valid loss:0.79222308,valid accuracy:65.822199%
epoch:146/50000,train loss:0.80126704,train accuracy:60.695376%,valid loss:0.79228084,valid accuracy:65.827043%
epoch:147/50000,train loss:0.80119815,train accuracy:60.691695%,valid loss:0.79222159,valid accuracy:65.798592%
epoch:148/50000,train loss:0.80120200,train accuracy:60.686164%,valid loss:0.79217069,valid accuracy:65.782041%
epoch:149/50000,train loss:0.80103847,train accuracy:60.713806%,valid loss:0.79228681,valid accuracy:65.775359%
epoch:150/50000,train loss:0.80108978,train accuracy:60.714762%,valid loss:0.79230845,valid accuracy:65.769019%
epoch:151/50000,train loss:0.80123718,train accuracy:60.704235%,valid loss:0.79217346,valid accuracy:65.766892%
epoch:152/50000,train loss:0.80123622,train accuracy:60.701430%,valid loss:0.79200943,valid accuracy:65.766551%
epoch:153/50000,train loss:0.80103902,train accuracy:60.722704%,valid loss:0.79185593,valid accuracy:65.754571%
epoch:154/50000,train loss:0.80090813,train accuracy:60.738298%,valid loss:0.79166173,valid accuracy:65.788108%
epoch:155/50000,train loss:0.80067092,train accuracy:60.759716%,valid loss:0.79150607,valid accuracy:65.818178%
epoch:156/50000,train loss:0.80098432,train accuracy:60.740078%,valid loss:0.79176405,valid accuracy:65.796635%
epoch:157/50000,train loss:0.80077198,train accuracy:60.760246%,valid loss:0.79170502,valid accuracy:65.769934%
epoch:158/50000,train loss:0.80043608,train accuracy:60.783579%,valid loss:0.79155996,valid accuracy:65.759034%
epoch:159/50000,train loss:0.80009872,train accuracy:60.799507%,valid loss:0.79135725,valid accuracy:65.757316%
epoch:160/50000,train loss:0.79977181,train accuracy:60.818755%,valid loss:0.79148294,valid accuracy:65.747108%
epoch:161/50000,train loss:0.79960205,train accuracy:60.829238%,valid loss:0.79132732,valid accuracy:65.751018%
epoch:162/50000,train loss:0.79936823,train accuracy:60.836119%,valid loss:0.79110148,valid accuracy:65.769967%
epoch:163/50000,train loss:0.79913039,train accuracy:60.859382%,valid loss:0.79103766,valid accuracy:65.759399%
epoch:164/50000,train loss:0.79882844,train accuracy:60.874369%,valid loss:0.79077917,valid accuracy:65.777835%
epoch:165/50000,train loss:0.79855120,train accuracy:60.904965%,valid loss:0.79096347,valid accuracy:65.752302%
epoch:166/50000,train loss:0.79830379,train accuracy:60.907194%,valid loss:0.79093062,valid accuracy:65.742490%
epoch:167/50000,train loss:0.79793853,train accuracy:60.940971%,valid loss:0.79062779,valid accuracy:65.803007%
epoch:168/50000,train loss:0.79770920,train accuracy:60.954919%,valid loss:0.79029423,valid accuracy:65.854472%
epoch:169/50000,train loss:0.79744909,train accuracy:60.971201%,valid loss:0.78999554,valid accuracy:65.872258%
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epoch:194/50000,train loss:0.79307352,train accuracy:61.286842%,valid loss:0.78395503,valid accuracy:66.164880%
epoch:195/50000,train loss:0.79300376,train accuracy:61.288583%,valid loss:0.78362597,valid accuracy:66.170163%
epoch:196/50000,train loss:0.79265984,train accuracy:61.312693%,valid loss:0.78329901,valid accuracy:66.204127%
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epoch:197/50000,train loss:0.79237818,train accuracy:61.346910%,valid loss:0.78310012,valid accuracy:66.197322%
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epoch:199/50000,train loss:0.79198962,train accuracy:61.376981%,valid loss:0.78268656,valid accuracy:66.193904%
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epoch:213/50000,train loss:0.78978444,train accuracy:61.544707%,valid loss:0.78016790,valid accuracy:66.258307%
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epoch:227/50000,train loss:0.78772792,train accuracy:61.745070%,valid loss:0.77776260,valid accuracy:66.394903%
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epoch:229/50000,train loss:0.78748059,train accuracy:61.759166%,valid loss:0.77732408,valid accuracy:66.415828%
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epoch:230/50000,train loss:0.78794188,train accuracy:61.732156%,valid loss:0.77755937,valid accuracy:66.394551%
epoch:231/50000,train loss:0.78799658,train accuracy:61.727022%,valid loss:0.77738256,valid accuracy:66.398190%
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epoch:238/50000,train loss:0.78704244,train accuracy:61.819515%,valid loss:0.77638406,valid accuracy:66.373508%
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epoch:242/50000,train loss:0.78693281,train accuracy:61.841876%,valid loss:0.77590134,valid accuracy:66.345481%
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epoch:243/50000,train loss:0.78686133,train accuracy:61.850629%,valid loss:0.77577428,valid accuracy:66.336019%
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epoch:245/50000,train loss:0.78671640,train accuracy:61.861454%,valid loss:0.77566422,valid accuracy:66.323991%
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epoch:248/50000,train loss:0.78650978,train accuracy:61.879083%,valid loss:0.77579155,valid accuracy:66.282960%
epoch:249/50000,train loss:0.78646089,train accuracy:61.881341%,valid loss:0.77589146,valid accuracy:66.260553%
epoch:250/50000,train loss:0.78633439,train accuracy:61.885452%,valid loss:0.77575886,valid accuracy:66.257613%
epoch:251/50000,train loss:0.78620876,train accuracy:61.893439%,valid loss:0.77560278,valid accuracy:66.261506%
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epoch:265/50000,train loss:0.78657109,train accuracy:61.878967%,valid loss:0.77433649,valid accuracy:66.167051%
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epoch:267/50000,train loss:0.78644644,train accuracy:61.879588%,valid loss:0.77424693,valid accuracy:66.145180%
epoch:268/50000,train loss:0.78644925,train accuracy:61.880421%,valid loss:0.77420938,valid accuracy:66.125297%
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epoch:1014/50000,train loss:0.79198406,train accuracy:61.265344%,valid loss:0.77446892,valid accuracy:64.650441%
epoch:1015/50000,train loss:0.79200861,train accuracy:61.262809%,valid loss:0.77442412,valid accuracy:64.650643%
epoch:1016/50000,train loss:0.79197210,train accuracy:61.265963%,valid loss:0.77437262,valid accuracy:64.652307%
epoch:1017/50000,train loss:0.79192448,train accuracy:61.268932%,valid loss:0.77432401,valid accuracy:64.652621%
epoch:1018/50000,train loss:0.79190017,train accuracy:61.269646%,valid loss:0.77434968,valid accuracy:64.649792%
epoch:1019/50000,train loss:0.79186379,train accuracy:61.275026%,valid loss:0.77431352,valid accuracy:64.648965%
epoch:1020/50000,train loss:0.79181934,train accuracy:61.278793%,valid loss:0.77425933,valid accuracy:64.657736%
epoch:1021/50000,train loss:0.79184748,train accuracy:61.277235%,valid loss:0.77420319,valid accuracy:64.659534%
epoch:1022/50000,train loss:0.79180999,train accuracy:61.279803%,valid loss:0.77414119,valid accuracy:64.665110%
epoch:1023/50000,train loss:0.79183399,train accuracy:61.280784%,valid loss:0.77410958,valid accuracy:64.662821%
epoch:1024/50000,train loss:0.79179117,train accuracy:61.285370%,valid loss:0.77406827,valid accuracy:64.661148%
epoch:1025/50000,train loss:0.79174884,train accuracy:61.287260%,valid loss:0.77402438,valid accuracy:64.659778%
epoch:1026/50000,train loss:0.79170210,train accuracy:61.292465%,valid loss:0.77397922,valid accuracy:64.658336%
epoch:1027/50000,train loss:0.79167998,train accuracy:61.293155%,valid loss:0.77391703,valid accuracy:64.665556%
epoch:1028/50000,train loss:0.79164470,train accuracy:61.295440%,valid loss:0.77385511,valid accuracy:64.671168%
epoch:1029/50000,train loss:0.79159693,train accuracy:61.300753%,valid loss:0.77378891,valid accuracy:64.675899%
loss is 0.773789, is decreasing!! save moddel
epoch:1030/50000,train loss:0.79155270,train accuracy:61.305639%,valid loss:0.77371573,valid accuracy:64.684670%
loss is 0.773716, is decreasing!! save moddel
epoch:1031/50000,train loss:0.79151228,train accuracy:61.309742%,valid loss:0.77368130,valid accuracy:64.683062%
loss is 0.773681, is decreasing!! save moddel
epoch:1032/50000,train loss:0.79146842,train accuracy:61.312977%,valid loss:0.77363459,valid accuracy:64.683118%
loss is 0.773635, is decreasing!! save moddel
epoch:1033/50000,train loss:0.79145929,train accuracy:61.314853%,valid loss:0.77357993,valid accuracy:64.689294%
loss is 0.773580, is decreasing!! save moddel
epoch:1034/50000,train loss:0.79144021,train accuracy:61.317623%,valid loss:0.77354008,valid accuracy:64.692400%
loss is 0.773540, is decreasing!! save moddel
epoch:1035/50000,train loss:0.79144770,train accuracy:61.317469%,valid loss:0.77351505,valid accuracy:64.693239%
loss is 0.773515, is decreasing!! save moddel
epoch:1036/50000,train loss:0.79143549,train accuracy:61.319183%,valid loss:0.77346881,valid accuracy:64.698707%
loss is 0.773469, is decreasing!! save moddel
epoch:1037/50000,train loss:0.79142638,train accuracy:61.319966%,valid loss:0.77343573,valid accuracy:64.701906%
loss is 0.773436, is decreasing!! save moddel
epoch:1038/50000,train loss:0.79139699,train accuracy:61.323592%,valid loss:0.77338594,valid accuracy:64.706604%
loss is 0.773386, is decreasing!! save moddel
epoch:1039/50000,train loss:0.79135426,train accuracy:61.329747%,valid loss:0.77333650,valid accuracy:64.709149%
loss is 0.773336, is decreasing!! save moddel
epoch:1040/50000,train loss:0.79133274,train accuracy:61.329588%,valid loss:0.77329076,valid accuracy:64.710607%
loss is 0.773291, is decreasing!! save moddel
epoch:1041/50000,train loss:0.79139008,train accuracy:61.325648%,valid loss:0.77333451,valid accuracy:64.704491%
epoch:1042/50000,train loss:0.79134586,train accuracy:61.329384%,valid loss:0.77329169,valid accuracy:64.711489%
epoch:1043/50000,train loss:0.79140188,train accuracy:61.328976%,valid loss:0.77325312,valid accuracy:64.713161%
loss is 0.773253, is decreasing!! save moddel
epoch:1044/50000,train loss:0.79139028,train accuracy:61.333282%,valid loss:0.77324787,valid accuracy:64.709413%
loss is 0.773248, is decreasing!! save moddel
epoch:1045/50000,train loss:0.79135607,train accuracy:61.337553%,valid loss:0.77321812,valid accuracy:64.711121%
loss is 0.773218, is decreasing!! save moddel
epoch:1046/50000,train loss:0.79133266,train accuracy:61.341291%,valid loss:0.77319710,valid accuracy:64.711224%
loss is 0.773197, is decreasing!! save moddel
epoch:1047/50000,train loss:0.79133677,train accuracy:61.340306%,valid loss:0.77317028,valid accuracy:64.712034%
loss is 0.773170, is decreasing!! save moddel
epoch:1048/50000,train loss:0.79132827,train accuracy:61.342578%,valid loss:0.77332529,valid accuracy:64.701233%
epoch:1049/50000,train loss:0.79131643,train accuracy:61.343772%,valid loss:0.77340865,valid accuracy:64.693648%
epoch:1050/50000,train loss:0.79131076,train accuracy:61.342044%,valid loss:0.77341782,valid accuracy:64.683847%
epoch:1051/50000,train loss:0.79131686,train accuracy:61.344420%,valid loss:0.77345676,valid accuracy:64.679519%
epoch:1052/50000,train loss:0.79130690,train accuracy:61.344254%,valid loss:0.77344383,valid accuracy:64.676354%
epoch:1053/50000,train loss:0.79128716,train accuracy:61.346731%,valid loss:0.77344370,valid accuracy:64.672855%
epoch:1054/50000,train loss:0.79126850,train accuracy:61.348387%,valid loss:0.77343475,valid accuracy:64.669812%
epoch:1055/50000,train loss:0.79123874,train accuracy:61.350282%,valid loss:0.77341387,valid accuracy:64.672767%
epoch:1056/50000,train loss:0.79123245,train accuracy:61.352837%,valid loss:0.77342164,valid accuracy:64.669027%
epoch:1057/50000,train loss:0.79122319,train accuracy:61.353772%,valid loss:0.77349021,valid accuracy:64.662970%
epoch:1058/50000,train loss:0.79122079,train accuracy:61.351406%,valid loss:0.77359531,valid accuracy:64.654675%
epoch:1059/50000,train loss:0.79125912,train accuracy:61.346321%,valid loss:0.77359389,valid accuracy:64.651144%
epoch:1060/50000,train loss:0.79126898,train accuracy:61.345359%,valid loss:0.77359708,valid accuracy:64.648284%
epoch:1061/50000,train loss:0.79129603,train accuracy:61.341367%,valid loss:0.77358721,valid accuracy:64.646164%
epoch:1062/50000,train loss:0.79128608,train accuracy:61.342185%,valid loss:0.77354934,valid accuracy:64.647242%
epoch:1063/50000,train loss:0.79127621,train accuracy:61.344758%,valid loss:0.77354476,valid accuracy:64.642780%
epoch:1064/50000,train loss:0.79125316,train accuracy:61.346666%,valid loss:0.77350551,valid accuracy:64.645362%
epoch:1065/50000,train loss:0.79123744,train accuracy:61.347084%,valid loss:0.77349210,valid accuracy:64.642556%
epoch:1066/50000,train loss:0.79120612,train accuracy:61.349523%,valid loss:0.77345916,valid accuracy:64.644293%
epoch:1067/50000,train loss:0.79117956,train accuracy:61.350394%,valid loss:0.77343668,valid accuracy:64.641422%
epoch:1068/50000,train loss:0.79115702,train accuracy:61.352385%,valid loss:0.77341400,valid accuracy:64.641588%
epoch:1069/50000,train loss:0.79118793,train accuracy:61.350913%,valid loss:0.77337723,valid accuracy:64.642483%
epoch:1070/50000,train loss:0.79115616,train accuracy:61.353386%,valid loss:0.77333743,valid accuracy:64.645529%
epoch:1071/50000,train loss:0.79112501,train accuracy:61.356463%,valid loss:0.77330144,valid accuracy:64.645068%
epoch:1072/50000,train loss:0.79112347,train accuracy:61.357639%,valid loss:0.77328282,valid accuracy:64.642974%
epoch:1073/50000,train loss:0.79114077,train accuracy:61.357554%,valid loss:0.77325385,valid accuracy:64.642338%
epoch:1074/50000,train loss:0.79112007,train accuracy:61.359554%,valid loss:0.77321192,valid accuracy:64.647005%
epoch:1075/50000,train loss:0.79111771,train accuracy:61.359851%,valid loss:0.77321487,valid accuracy:64.641974%
epoch:1076/50000,train loss:0.79109420,train accuracy:61.364773%,valid loss:0.77323961,valid accuracy:64.636882%
epoch:1077/50000,train loss:0.79107363,train accuracy:61.367202%,valid loss:0.77322090,valid accuracy:64.634044%
epoch:1078/50000,train loss:0.79109224,train accuracy:61.368294%,valid loss:0.77319784,valid accuracy:64.632660%
epoch:1079/50000,train loss:0.79109887,train accuracy:61.369861%,valid loss:0.77317638,valid accuracy:64.631491%
epoch:1080/50000,train loss:0.79110332,train accuracy:61.371215%,valid loss:0.77315509,valid accuracy:64.629425%
loss is 0.773155, is decreasing!! save moddel
epoch:1081/50000,train loss:0.79112292,train accuracy:61.369527%,valid loss:0.77312867,valid accuracy:64.630321%
loss is 0.773129, is decreasing!! save moddel
epoch:1082/50000,train loss:0.79114470,train accuracy:61.366165%,valid loss:0.77310539,valid accuracy:64.627503%
loss is 0.773105, is decreasing!! save moddel
epoch:1083/50000,train loss:0.79112624,train accuracy:61.367571%,valid loss:0.77308034,valid accuracy:64.632936%
loss is 0.773080, is decreasing!! save moddel
epoch:1084/50000,train loss:0.79113492,train accuracy:61.367816%,valid loss:0.77307885,valid accuracy:64.627748%
loss is 0.773079, is decreasing!! save moddel
epoch:1085/50000,train loss:0.79111082,train accuracy:61.370026%,valid loss:0.77307808,valid accuracy:64.622640%
loss is 0.773078, is decreasing!! save moddel
epoch:1086/50000,train loss:0.79113964,train accuracy:61.368774%,valid loss:0.77307909,valid accuracy:64.616999%
epoch:1087/50000,train loss:0.79114904,train accuracy:61.368425%,valid loss:0.77306872,valid accuracy:64.614959%
loss is 0.773069, is decreasing!! save moddel
epoch:1088/50000,train loss:0.79114445,train accuracy:61.367494%,valid loss:0.77306382,valid accuracy:64.610736%
loss is 0.773064, is decreasing!! save moddel
epoch:1089/50000,train loss:0.79114386,train accuracy:61.369436%,valid loss:0.77305758,valid accuracy:64.607307%
loss is 0.773058, is decreasing!! save moddel
epoch:1090/50000,train loss:0.79115355,train accuracy:61.368646%,valid loss:0.77304526,valid accuracy:64.609649%
loss is 0.773045, is decreasing!! save moddel
epoch:1091/50000,train loss:0.79115216,train accuracy:61.368054%,valid loss:0.77306285,valid accuracy:64.603154%
epoch:1092/50000,train loss:0.79116073,train accuracy:61.367826%,valid loss:0.77305014,valid accuracy:64.606280%
epoch:1093/50000,train loss:0.79115799,train accuracy:61.367904%,valid loss:0.77303551,valid accuracy:64.611684%
loss is 0.773036, is decreasing!! save moddel
epoch:1094/50000,train loss:0.79115749,train accuracy:61.371352%,valid loss:0.77303325,valid accuracy:64.605954%
loss is 0.773033, is decreasing!! save moddel
epoch:1095/50000,train loss:0.79115408,train accuracy:61.372800%,valid loss:0.77302715,valid accuracy:64.608321%
loss is 0.773027, is decreasing!! save moddel
epoch:1096/50000,train loss:0.79116015,train accuracy:61.371263%,valid loss:0.77314065,valid accuracy:64.598939%
epoch:1097/50000,train loss:0.79122782,train accuracy:61.367331%,valid loss:0.77316367,valid accuracy:64.590390%
epoch:1098/50000,train loss:0.79126356,train accuracy:61.366440%,valid loss:0.77318674,valid accuracy:64.584806%
epoch:1099/50000,train loss:0.79134793,train accuracy:61.361053%,valid loss:0.77321554,valid accuracy:64.576856%
epoch:1100/50000,train loss:0.79136710,train accuracy:61.358041%,valid loss:0.77324880,valid accuracy:64.569700%
epoch:1101/50000,train loss:0.79147326,train accuracy:61.351489%,valid loss:0.77325133,valid accuracy:64.564893%
epoch:1102/50000,train loss:0.79147125,train accuracy:61.352053%,valid loss:0.77324781,valid accuracy:64.559387%
epoch:1103/50000,train loss:0.79148545,train accuracy:61.351811%,valid loss:0.77332345,valid accuracy:64.553855%
epoch:1104/50000,train loss:0.79149920,train accuracy:61.351036%,valid loss:0.77334642,valid accuracy:64.546816%
epoch:1105/50000,train loss:0.79153317,train accuracy:61.347361%,valid loss:0.77337696,valid accuracy:64.539152%
epoch:1106/50000,train loss:0.79154835,train accuracy:61.346515%,valid loss:0.77336747,valid accuracy:64.540249%
epoch:1107/50000,train loss:0.79155819,train accuracy:61.347904%,valid loss:0.77342318,valid accuracy:64.532431%
epoch:1108/50000,train loss:0.79155064,train accuracy:61.348355%,valid loss:0.77341524,valid accuracy:64.527654%
epoch:1109/50000,train loss:0.79154913,train accuracy:61.350321%,valid loss:0.77339533,valid accuracy:64.524927%
epoch:1110/50000,train loss:0.79152828,train accuracy:61.349899%,valid loss:0.77337676,valid accuracy:64.525825%
epoch:1111/50000,train loss:0.79151121,train accuracy:61.351931%,valid loss:0.77338823,valid accuracy:64.519661%
epoch:1112/50000,train loss:0.79156617,train accuracy:61.347952%,valid loss:0.77340151,valid accuracy:64.513508%
epoch:1113/50000,train loss:0.79158054,train accuracy:61.346730%,valid loss:0.77337980,valid accuracy:64.520232%
epoch:1114/50000,train loss:0.79159869,train accuracy:61.346733%,valid loss:0.77336470,valid accuracy:64.522670%
epoch:1115/50000,train loss:0.79161854,train accuracy:61.345200%,valid loss:0.77338369,valid accuracy:64.517024%
epoch:1116/50000,train loss:0.79161689,train accuracy:61.345970%,valid loss:0.77340817,valid accuracy:64.510827%
epoch:1117/50000,train loss:0.79164038,train accuracy:61.343114%,valid loss:0.77341362,valid accuracy:64.506142%
epoch:1118/50000,train loss:0.79167571,train accuracy:61.341932%,valid loss:0.77339568,valid accuracy:64.506386%
epoch:1119/50000,train loss:0.79165758,train accuracy:61.343982%,valid loss:0.77342604,valid accuracy:64.501541%
epoch:1120/50000,train loss:0.79166041,train accuracy:61.342685%,valid loss:0.77341034,valid accuracy:64.509102%
epoch:1121/50000,train loss:0.79168137,train accuracy:61.343282%,valid loss:0.77339699,valid accuracy:64.510907%
epoch:1122/50000,train loss:0.79168714,train accuracy:61.343843%,valid loss:0.77338201,valid accuracy:64.509789%
epoch:1123/50000,train loss:0.79168233,train accuracy:61.342530%,valid loss:0.77340170,valid accuracy:64.503773%
epoch:1124/50000,train loss:0.79168200,train accuracy:61.343322%,valid loss:0.77340424,valid accuracy:64.497803%
epoch:1125/50000,train loss:0.79170545,train accuracy:61.341916%,valid loss:0.77346516,valid accuracy:64.488760%
epoch:1126/50000,train loss:0.79171580,train accuracy:61.341592%,valid loss:0.77349038,valid accuracy:64.481291%
epoch:1127/50000,train loss:0.79171036,train accuracy:61.342564%,valid loss:0.77348135,valid accuracy:64.485121%
epoch:1128/50000,train loss:0.79170101,train accuracy:61.342847%,valid loss:0.77350191,valid accuracy:64.477634%
epoch:1129/50000,train loss:0.79168635,train accuracy:61.344838%,valid loss:0.77350200,valid accuracy:64.474342%
epoch:1130/50000,train loss:0.79170306,train accuracy:61.343757%,valid loss:0.77349891,valid accuracy:64.469675%
epoch:1131/50000,train loss:0.79167715,train accuracy:61.345779%,valid loss:0.77348235,valid accuracy:64.470537%
epoch:1132/50000,train loss:0.79167615,train accuracy:61.347872%,valid loss:0.77349161,valid accuracy:64.465882%
epoch:1133/50000,train loss:0.79169248,train accuracy:61.345049%,valid loss:0.77348520,valid accuracy:64.465334%
epoch:1134/50000,train loss:0.79171410,train accuracy:61.343443%,valid loss:0.77348518,valid accuracy:64.462203%
epoch:1135/50000,train loss:0.79173760,train accuracy:61.342368%,valid loss:0.77347978,valid accuracy:64.461727%
epoch:1136/50000,train loss:0.79172264,train accuracy:61.341255%,valid loss:0.77347321,valid accuracy:64.459945%
epoch:1137/50000,train loss:0.79174445,train accuracy:61.340069%,valid loss:0.77347225,valid accuracy:64.456107%
epoch:1138/50000,train loss:0.79179860,train accuracy:61.336286%,valid loss:0.77346143,valid accuracy:64.454368%
epoch:1139/50000,train loss:0.79178951,train accuracy:61.336801%,valid loss:0.77346389,valid accuracy:64.452462%
epoch:1140/50000,train loss:0.79179513,train accuracy:61.336902%,valid loss:0.77347126,valid accuracy:64.449191%
epoch:1141/50000,train loss:0.79180069,train accuracy:61.335268%,valid loss:0.77346444,valid accuracy:64.447293%
epoch:1142/50000,train loss:0.79180310,train accuracy:61.334732%,valid loss:0.77349878,valid accuracy:64.442150%
epoch:1143/50000,train loss:0.79181997,train accuracy:61.335038%,valid loss:0.77351168,valid accuracy:64.436914%
epoch:1144/50000,train loss:0.79183127,train accuracy:61.335077%,valid loss:0.77351109,valid accuracy:64.437930%
epoch:1145/50000,train loss:0.79184696,train accuracy:61.334611%,valid loss:0.77363618,valid accuracy:64.430561%
epoch:1146/50000,train loss:0.79185545,train accuracy:61.335277%,valid loss:0.77364673,valid accuracy:64.429503%
epoch:1147/50000,train loss:0.79187253,train accuracy:61.333293%,valid loss:0.77366086,valid accuracy:64.421341%
epoch:1148/50000,train loss:0.79189414,train accuracy:61.333870%,valid loss:0.77366244,valid accuracy:64.416826%
epoch:1149/50000,train loss:0.79190255,train accuracy:61.332639%,valid loss:0.77368077,valid accuracy:64.412153%
epoch:1150/50000,train loss:0.79189846,train accuracy:61.332699%,valid loss:0.77369027,valid accuracy:64.406942%
epoch:1151/50000,train loss:0.79192840,train accuracy:61.331894%,valid loss:0.77369463,valid accuracy:64.402285%
epoch:1152/50000,train loss:0.79194155,train accuracy:61.329092%,valid loss:0.77378485,valid accuracy:64.394348%
epoch:1153/50000,train loss:0.79198638,train accuracy:61.326403%,valid loss:0.77382657,valid accuracy:64.386935%
epoch:1154/50000,train loss:0.79201935,train accuracy:61.325365%,valid loss:0.77383729,valid accuracy:64.385922%
epoch:1155/50000,train loss:0.79202399,train accuracy:61.325407%,valid loss:0.77385332,valid accuracy:64.384235%
epoch:1156/50000,train loss:0.79202775,train accuracy:61.324098%,valid loss:0.77386941,valid accuracy:64.381744%
epoch:1157/50000,train loss:0.79206442,train accuracy:61.321598%,valid loss:0.77387618,valid accuracy:64.377840%
epoch:1158/50000,train loss:0.79211188,train accuracy:61.319377%,valid loss:0.77391049,valid accuracy:64.370573%
epoch:1159/50000,train loss:0.79215161,train accuracy:61.319775%,valid loss:0.77393174,valid accuracy:64.363319%
epoch:1160/50000,train loss:0.79214843,train accuracy:61.319533%,valid loss:0.77398516,valid accuracy:64.356816%
epoch:1161/50000,train loss:0.79220561,train accuracy:61.318820%,valid loss:0.77400799,valid accuracy:64.353080%
epoch:1162/50000,train loss:0.79220560,train accuracy:61.318647%,valid loss:0.77402213,valid accuracy:64.346498%
epoch:1163/50000,train loss:0.79222935,train accuracy:61.317041%,valid loss:0.77403966,valid accuracy:64.340763%
epoch:1164/50000,train loss:0.79224780,train accuracy:61.315369%,valid loss:0.77404307,valid accuracy:64.339766%
epoch:1165/50000,train loss:0.79226051,train accuracy:61.316827%,valid loss:0.77405227,valid accuracy:64.335486%
epoch:1166/50000,train loss:0.79225509,train accuracy:61.315134%,valid loss:0.77405313,valid accuracy:64.337941%
epoch:1167/50000,train loss:0.79225804,train accuracy:61.317122%,valid loss:0.77405783,valid accuracy:64.333538%
epoch:1168/50000,train loss:0.79225368,train accuracy:61.317234%,valid loss:0.77408571,valid accuracy:64.327807%
epoch:1169/50000,train loss:0.79227980,train accuracy:61.313188%,valid loss:0.77412739,valid accuracy:64.321483%
epoch:1170/50000,train loss:0.79229803,train accuracy:61.310663%,valid loss:0.77414284,valid accuracy:64.315771%
epoch:1171/50000,train loss:0.79231291,train accuracy:61.310185%,valid loss:0.77414420,valid accuracy:64.316965%
epoch:1172/50000,train loss:0.79230930,train accuracy:61.310794%,valid loss:0.77415789,valid accuracy:64.311933%
epoch:1173/50000,train loss:0.79233617,train accuracy:61.309053%,valid loss:0.77418178,valid accuracy:64.306877%
epoch:1174/50000,train loss:0.79233185,train accuracy:61.306608%,valid loss:0.77417954,valid accuracy:64.303954%
epoch:1175/50000,train loss:0.79242153,train accuracy:61.301042%,valid loss:0.77418701,valid accuracy:64.301767%
epoch:1176/50000,train loss:0.79241683,train accuracy:61.302363%,valid loss:0.77418111,valid accuracy:64.300813%
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epoch:2889/50000,train loss:0.78848069,train accuracy:61.951223%,valid loss:0.77350536,valid accuracy:63.828617%
epoch:2890/50000,train loss:0.78845831,train accuracy:61.953306%,valid loss:0.77347769,valid accuracy:63.830917%
epoch:2891/50000,train loss:0.78844273,train accuracy:61.954104%,valid loss:0.77345124,valid accuracy:63.831786%
epoch:2892/50000,train loss:0.78844289,train accuracy:61.953418%,valid loss:0.77343882,valid accuracy:63.830967%
epoch:2893/50000,train loss:0.78842315,train accuracy:61.955260%,valid loss:0.77344782,valid accuracy:63.829675%
epoch:2894/50000,train loss:0.78840392,train accuracy:61.955511%,valid loss:0.77342419,valid accuracy:63.832485%
epoch:2895/50000,train loss:0.78838943,train accuracy:61.956094%,valid loss:0.77342599,valid accuracy:63.831153%
epoch:2896/50000,train loss:0.78836530,train accuracy:61.957708%,valid loss:0.77340323,valid accuracy:63.831521%
epoch:2897/50000,train loss:0.78835467,train accuracy:61.958071%,valid loss:0.77337853,valid accuracy:63.832197%
epoch:2898/50000,train loss:0.78833448,train accuracy:61.959244%,valid loss:0.77335305,valid accuracy:63.833818%
epoch:2899/50000,train loss:0.78835067,train accuracy:61.958538%,valid loss:0.77333682,valid accuracy:63.833566%
epoch:2900/50000,train loss:0.78833556,train accuracy:61.959303%,valid loss:0.77332853,valid accuracy:63.833327%
epoch:2901/50000,train loss:0.78831968,train accuracy:61.959551%,valid loss:0.77330289,valid accuracy:63.836707%
epoch:2902/50000,train loss:0.78830040,train accuracy:61.961335%,valid loss:0.77328175,valid accuracy:63.836211%
epoch:2903/50000,train loss:0.78827447,train accuracy:61.962727%,valid loss:0.77325974,valid accuracy:63.836280%
epoch:2904/50000,train loss:0.78825159,train accuracy:61.963091%,valid loss:0.77323612,valid accuracy:63.838514%
epoch:2905/50000,train loss:0.78825725,train accuracy:61.962843%,valid loss:0.77321360,valid accuracy:63.841553%
epoch:2906/50000,train loss:0.78824817,train accuracy:61.963221%,valid loss:0.77319084,valid accuracy:63.845422%
epoch:2907/50000,train loss:0.78823957,train accuracy:61.963493%,valid loss:0.77316949,valid accuracy:63.846320%
epoch:2908/50000,train loss:0.78822058,train accuracy:61.964631%,valid loss:0.77314780,valid accuracy:63.847460%
epoch:2909/50000,train loss:0.78820358,train accuracy:61.965235%,valid loss:0.77313646,valid accuracy:63.846333%
epoch:2910/50000,train loss:0.78818529,train accuracy:61.965512%,valid loss:0.77311743,valid accuracy:63.848343%
epoch:2911/50000,train loss:0.78818741,train accuracy:61.964973%,valid loss:0.77309849,valid accuracy:63.850541%
epoch:2912/50000,train loss:0.78817095,train accuracy:61.965965%,valid loss:0.77307677,valid accuracy:63.851945%
epoch:2913/50000,train loss:0.78817822,train accuracy:61.965002%,valid loss:0.77306181,valid accuracy:63.851996%
epoch:2914/50000,train loss:0.78816283,train accuracy:61.965640%,valid loss:0.77304052,valid accuracy:63.854550%
epoch:2915/50000,train loss:0.78815169,train accuracy:61.966491%,valid loss:0.77302855,valid accuracy:63.853809%
epoch:2916/50000,train loss:0.78813176,train accuracy:61.967464%,valid loss:0.77300635,valid accuracy:63.857112%
loss is 0.773006, is decreasing!! save moddel
epoch:2917/50000,train loss:0.78811429,train accuracy:61.968874%,valid loss:0.77298475,valid accuracy:63.859355%
loss is 0.772985, is decreasing!! save moddel
epoch:2918/50000,train loss:0.78809656,train accuracy:61.970026%,valid loss:0.77296809,valid accuracy:63.859631%
loss is 0.772968, is decreasing!! save moddel
epoch:2919/50000,train loss:0.78808228,train accuracy:61.970285%,valid loss:0.77294274,valid accuracy:63.861095%
loss is 0.772943, is decreasing!! save moddel
epoch:2920/50000,train loss:0.78806809,train accuracy:61.971748%,valid loss:0.77291916,valid accuracy:63.864470%
loss is 0.772919, is decreasing!! save moddel
epoch:2921/50000,train loss:0.78806646,train accuracy:61.971613%,valid loss:0.77289657,valid accuracy:63.864783%
loss is 0.772897, is decreasing!! save moddel
epoch:2922/50000,train loss:0.78804786,train accuracy:61.972173%,valid loss:0.77287255,valid accuracy:63.868930%
loss is 0.772873, is decreasing!! save moddel
epoch:2923/50000,train loss:0.78804813,train accuracy:61.971897%,valid loss:0.77286071,valid accuracy:63.868440%
loss is 0.772861, is decreasing!! save moddel
epoch:2924/50000,train loss:0.78805336,train accuracy:61.970695%,valid loss:0.77284924,valid accuracy:63.867911%
loss is 0.772849, is decreasing!! save moddel
epoch:2925/50000,train loss:0.78803610,train accuracy:61.971540%,valid loss:0.77284560,valid accuracy:63.867155%
loss is 0.772846, is decreasing!! save moddel
epoch:2926/50000,train loss:0.78802389,train accuracy:61.972188%,valid loss:0.77282260,valid accuracy:63.870494%
loss is 0.772823, is decreasing!! save moddel
epoch:2927/50000,train loss:0.78800404,train accuracy:61.973610%,valid loss:0.77279888,valid accuracy:63.871632%
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epoch:2928/50000,train loss:0.78799150,train accuracy:61.974002%,valid loss:0.77278254,valid accuracy:63.871955%
loss is 0.772783, is decreasing!! save moddel
epoch:2929/50000,train loss:0.78797229,train accuracy:61.974937%,valid loss:0.77275961,valid accuracy:63.876116%
loss is 0.772760, is decreasing!! save moddel
epoch:2930/50000,train loss:0.78795271,train accuracy:61.976045%,valid loss:0.77273734,valid accuracy:63.879461%
loss is 0.772737, is decreasing!! save moddel
epoch:2931/50000,train loss:0.78795294,train accuracy:61.975620%,valid loss:0.77272153,valid accuracy:63.880021%
loss is 0.772722, is decreasing!! save moddel
epoch:2932/50000,train loss:0.78793831,train accuracy:61.976051%,valid loss:0.77269641,valid accuracy:63.883363%
loss is 0.772696, is decreasing!! save moddel
epoch:2933/50000,train loss:0.78792189,train accuracy:61.977239%,valid loss:0.77266969,valid accuracy:63.886357%
loss is 0.772670, is decreasing!! save moddel
epoch:2934/50000,train loss:0.78790202,train accuracy:61.977627%,valid loss:0.77264322,valid accuracy:63.887434%
loss is 0.772643, is decreasing!! save moddel
epoch:2935/50000,train loss:0.78788936,train accuracy:61.977599%,valid loss:0.77262339,valid accuracy:63.887751%
loss is 0.772623, is decreasing!! save moddel
epoch:2936/50000,train loss:0.78786768,train accuracy:61.979115%,valid loss:0.77259907,valid accuracy:63.891604%
loss is 0.772599, is decreasing!! save moddel
epoch:2937/50000,train loss:0.78785154,train accuracy:61.979593%,valid loss:0.77258237,valid accuracy:63.891641%
loss is 0.772582, is decreasing!! save moddel
epoch:2938/50000,train loss:0.78783737,train accuracy:61.980095%,valid loss:0.77256142,valid accuracy:63.891677%
loss is 0.772561, is decreasing!! save moddel
epoch:2939/50000,train loss:0.78782051,train accuracy:61.981368%,valid loss:0.77256085,valid accuracy:63.890916%
loss is 0.772561, is decreasing!! save moddel
epoch:2940/50000,train loss:0.78780752,train accuracy:61.982204%,valid loss:0.77254011,valid accuracy:63.890953%
loss is 0.772540, is decreasing!! save moddel
epoch:2941/50000,train loss:0.78778985,train accuracy:61.983492%,valid loss:0.77253200,valid accuracy:63.890697%
loss is 0.772532, is decreasing!! save moddel
epoch:2942/50000,train loss:0.78777482,train accuracy:61.983862%,valid loss:0.77253071,valid accuracy:63.890469%
loss is 0.772531, is decreasing!! save moddel
epoch:2943/50000,train loss:0.78776310,train accuracy:61.984080%,valid loss:0.77251805,valid accuracy:63.889922%
loss is 0.772518, is decreasing!! save moddel
epoch:2944/50000,train loss:0.78775743,train accuracy:61.983863%,valid loss:0.77252794,valid accuracy:63.888885%
epoch:2945/50000,train loss:0.78774568,train accuracy:61.983965%,valid loss:0.77250276,valid accuracy:63.890261%
loss is 0.772503, is decreasing!! save moddel
epoch:2946/50000,train loss:0.78772863,train accuracy:61.985032%,valid loss:0.77247971,valid accuracy:63.890259%
loss is 0.772480, is decreasing!! save moddel
epoch:2947/50000,train loss:0.78771701,train accuracy:61.985723%,valid loss:0.77245768,valid accuracy:63.892985%
loss is 0.772458, is decreasing!! save moddel
epoch:2948/50000,train loss:0.78770149,train accuracy:61.987492%,valid loss:0.77244764,valid accuracy:63.892504%
loss is 0.772448, is decreasing!! save moddel
epoch:2949/50000,train loss:0.78768415,train accuracy:61.988292%,valid loss:0.77242656,valid accuracy:63.893825%
loss is 0.772427, is decreasing!! save moddel
epoch:2950/50000,train loss:0.78766603,train accuracy:61.988799%,valid loss:0.77242916,valid accuracy:63.892762%
epoch:2951/50000,train loss:0.78765102,train accuracy:61.989384%,valid loss:0.77240835,valid accuracy:63.892746%
loss is 0.772408, is decreasing!! save moddel
epoch:2952/50000,train loss:0.78764016,train accuracy:61.988998%,valid loss:0.77238448,valid accuracy:63.894963%
loss is 0.772384, is decreasing!! save moddel
epoch:2953/50000,train loss:0.78763099,train accuracy:61.989678%,valid loss:0.77238879,valid accuracy:63.893663%
epoch:2954/50000,train loss:0.78761904,train accuracy:61.990851%,valid loss:0.77236350,valid accuracy:63.894769%
loss is 0.772364, is decreasing!! save moddel
epoch:2955/50000,train loss:0.78759987,train accuracy:61.992155%,valid loss:0.77233367,valid accuracy:63.897261%
loss is 0.772334, is decreasing!! save moddel
epoch:2956/50000,train loss:0.78757683,train accuracy:61.992423%,valid loss:0.77230588,valid accuracy:63.900543%
loss is 0.772306, is decreasing!! save moddel
epoch:2957/50000,train loss:0.78756731,train accuracy:61.992996%,valid loss:0.77229335,valid accuracy:63.900260%
loss is 0.772293, is decreasing!! save moddel
epoch:2958/50000,train loss:0.78754206,train accuracy:61.994096%,valid loss:0.77226742,valid accuracy:63.901640%
loss is 0.772267, is decreasing!! save moddel
epoch:2959/50000,train loss:0.78752590,train accuracy:61.994582%,valid loss:0.77224448,valid accuracy:63.901975%
loss is 0.772244, is decreasing!! save moddel
epoch:2960/50000,train loss:0.78751366,train accuracy:61.994409%,valid loss:0.77224040,valid accuracy:63.901190%
loss is 0.772240, is decreasing!! save moddel
epoch:2961/50000,train loss:0.78750797,train accuracy:61.994207%,valid loss:0.77221787,valid accuracy:63.903502%
loss is 0.772218, is decreasing!! save moddel
epoch:2962/50000,train loss:0.78750229,train accuracy:61.994030%,valid loss:0.77219760,valid accuracy:63.903547%
loss is 0.772198, is decreasing!! save moddel
epoch:2963/50000,train loss:0.78748556,train accuracy:61.994321%,valid loss:0.77217347,valid accuracy:63.904132%
loss is 0.772173, is decreasing!! save moddel
epoch:2964/50000,train loss:0.78749080,train accuracy:61.993628%,valid loss:0.77214737,valid accuracy:63.905218%
loss is 0.772147, is decreasing!! save moddel
epoch:2965/50000,train loss:0.78747541,train accuracy:61.994404%,valid loss:0.77212082,valid accuracy:63.906644%
loss is 0.772121, is decreasing!! save moddel
epoch:2966/50000,train loss:0.78745695,train accuracy:61.995816%,valid loss:0.77209427,valid accuracy:63.906925%
loss is 0.772094, is decreasing!! save moddel
epoch:2967/50000,train loss:0.78743784,train accuracy:61.996528%,valid loss:0.77206768,valid accuracy:63.909640%
loss is 0.772068, is decreasing!! save moddel
epoch:2968/50000,train loss:0.78741505,train accuracy:61.997380%,valid loss:0.77204439,valid accuracy:63.911840%
loss is 0.772044, is decreasing!! save moddel
epoch:2969/50000,train loss:0.78742795,train accuracy:61.996240%,valid loss:0.77203051,valid accuracy:63.911356%
loss is 0.772031, is decreasing!! save moddel
epoch:2970/50000,train loss:0.78740440,train accuracy:61.997126%,valid loss:0.77200377,valid accuracy:63.911635%
loss is 0.772004, is decreasing!! save moddel
epoch:2971/50000,train loss:0.78738793,train accuracy:61.997661%,valid loss:0.77197980,valid accuracy:63.911651%
loss is 0.771980, is decreasing!! save moddel
epoch:2972/50000,train loss:0.78737173,train accuracy:61.998074%,valid loss:0.77195432,valid accuracy:63.912745%
loss is 0.771954, is decreasing!! save moddel
epoch:2973/50000,train loss:0.78735115,train accuracy:62.000095%,valid loss:0.77192816,valid accuracy:63.913299%
loss is 0.771928, is decreasing!! save moddel
epoch:2974/50000,train loss:0.78732887,train accuracy:62.001985%,valid loss:0.77193473,valid accuracy:63.911713%
epoch:2975/50000,train loss:0.78731233,train accuracy:62.002814%,valid loss:0.77190717,valid accuracy:63.911729%
loss is 0.771907, is decreasing!! save moddel
epoch:2976/50000,train loss:0.78729244,train accuracy:62.004778%,valid loss:0.77188665,valid accuracy:63.912584%
loss is 0.771887, is decreasing!! save moddel
epoch:2977/50000,train loss:0.78727169,train accuracy:62.006323%,valid loss:0.77187333,valid accuracy:63.912351%
loss is 0.771873, is decreasing!! save moddel
epoch:2978/50000,train loss:0.78725403,train accuracy:62.007013%,valid loss:0.77184356,valid accuracy:63.915329%
loss is 0.771844, is decreasing!! save moddel
epoch:2979/50000,train loss:0.78724035,train accuracy:62.008197%,valid loss:0.77181492,valid accuracy:63.916169%
loss is 0.771815, is decreasing!! save moddel
epoch:2980/50000,train loss:0.78722056,train accuracy:62.008658%,valid loss:0.77179456,valid accuracy:63.916734%
loss is 0.771795, is decreasing!! save moddel
epoch:2981/50000,train loss:0.78719989,train accuracy:62.010321%,valid loss:0.77176572,valid accuracy:63.920270%
loss is 0.771766, is decreasing!! save moddel
epoch:2982/50000,train loss:0.78718139,train accuracy:62.012447%,valid loss:0.77173920,valid accuracy:63.921095%
loss is 0.771739, is decreasing!! save moddel
epoch:2983/50000,train loss:0.78717887,train accuracy:62.011852%,valid loss:0.77171845,valid accuracy:63.920821%
loss is 0.771718, is decreasing!! save moddel
epoch:2984/50000,train loss:0.78717315,train accuracy:62.011366%,valid loss:0.77169123,valid accuracy:63.924326%
loss is 0.771691, is decreasing!! save moddel
epoch:2985/50000,train loss:0.78716233,train accuracy:62.012376%,valid loss:0.77167029,valid accuracy:63.925921%
loss is 0.771670, is decreasing!! save moddel
epoch:2986/50000,train loss:0.78714352,train accuracy:62.013697%,valid loss:0.77164429,valid accuracy:63.928312%
loss is 0.771644, is decreasing!! save moddel
epoch:2987/50000,train loss:0.78712358,train accuracy:62.014853%,valid loss:0.77162632,valid accuracy:63.929420%
loss is 0.771626, is decreasing!! save moddel
epoch:2988/50000,train loss:0.78710377,train accuracy:62.016507%,valid loss:0.77160705,valid accuracy:63.929469%
loss is 0.771607, is decreasing!! save moddel
epoch:2989/50000,train loss:0.78708822,train accuracy:62.018102%,valid loss:0.77159265,valid accuracy:63.928669%
loss is 0.771593, is decreasing!! save moddel
epoch:2990/50000,train loss:0.78706954,train accuracy:62.018697%,valid loss:0.77157049,valid accuracy:63.928680%
loss is 0.771570, is decreasing!! save moddel
epoch:2991/50000,train loss:0.78705400,train accuracy:62.019560%,valid loss:0.77157114,valid accuracy:63.928404%
epoch:2992/50000,train loss:0.78704565,train accuracy:62.019987%,valid loss:0.77154570,valid accuracy:63.929732%
loss is 0.771546, is decreasing!! save moddel
epoch:2993/50000,train loss:0.78702903,train accuracy:62.020762%,valid loss:0.77152979,valid accuracy:63.929468%
loss is 0.771530, is decreasing!! save moddel
epoch:2994/50000,train loss:0.78701435,train accuracy:62.021048%,valid loss:0.77151090,valid accuracy:63.930000%
loss is 0.771511, is decreasing!! save moddel
epoch:2995/50000,train loss:0.78700746,train accuracy:62.021102%,valid loss:0.77150358,valid accuracy:63.929151%
loss is 0.771504, is decreasing!! save moddel
epoch:2996/50000,train loss:0.78700220,train accuracy:62.020790%,valid loss:0.77148340,valid accuracy:63.931597%
loss is 0.771483, is decreasing!! save moddel
epoch:2997/50000,train loss:0.78699411,train accuracy:62.021180%,valid loss:0.77146592,valid accuracy:63.931607%
loss is 0.771466, is decreasing!! save moddel
epoch:2998/50000,train loss:0.78699718,train accuracy:62.021115%,valid loss:0.77148528,valid accuracy:63.929272%
epoch:2999/50000,train loss:0.78698560,train accuracy:62.020962%,valid loss:0.77147781,valid accuracy:63.928501%
epoch:3000/50000,train loss:0.78697790,train accuracy:62.021197%,valid loss:0.77147521,valid accuracy:63.927705%
epoch:3001/50000,train loss:0.78696546,train accuracy:62.020930%,valid loss:0.77145405,valid accuracy:63.928586%
loss is 0.771454, is decreasing!! save moddel
epoch:3002/50000,train loss:0.78695749,train accuracy:62.021353%,valid loss:0.77145272,valid accuracy:63.927504%
loss is 0.771453, is decreasing!! save moddel
epoch:3003/50000,train loss:0.78696271,train accuracy:62.020876%,valid loss:0.77143808,valid accuracy:63.927502%
loss is 0.771438, is decreasing!! save moddel
epoch:3004/50000,train loss:0.78695072,train accuracy:62.020947%,valid loss:0.77141891,valid accuracy:63.928084%
loss is 0.771419, is decreasing!! save moddel
epoch:3005/50000,train loss:0.78693475,train accuracy:62.021390%,valid loss:0.77139832,valid accuracy:63.931601%
loss is 0.771398, is decreasing!! save moddel
epoch:3006/50000,train loss:0.78691736,train accuracy:62.022751%,valid loss:0.77138507,valid accuracy:63.930831%
loss is 0.771385, is decreasing!! save moddel
epoch:3007/50000,train loss:0.78690380,train accuracy:62.022708%,valid loss:0.77136175,valid accuracy:63.933502%
loss is 0.771362, is decreasing!! save moddel
epoch:3008/50000,train loss:0.78690381,train accuracy:62.023091%,valid loss:0.77134726,valid accuracy:63.935107%
loss is 0.771347, is decreasing!! save moddel
epoch:3009/50000,train loss:0.78690421,train accuracy:62.023127%,valid loss:0.77132745,valid accuracy:63.935894%
loss is 0.771327, is decreasing!! save moddel
epoch:3010/50000,train loss:0.78690792,train accuracy:62.021945%,valid loss:0.77131140,valid accuracy:63.935175%
loss is 0.771311, is decreasing!! save moddel
epoch:3011/50000,train loss:0.78689921,train accuracy:62.021549%,valid loss:0.77130915,valid accuracy:63.934652%
loss is 0.771309, is decreasing!! save moddel
epoch:3012/50000,train loss:0.78688805,train accuracy:62.021982%,valid loss:0.77129011,valid accuracy:63.937083%
loss is 0.771290, is decreasing!! save moddel
epoch:3013/50000,train loss:0.78687564,train accuracy:62.023330%,valid loss:0.77127094,valid accuracy:63.937855%
loss is 0.771271, is decreasing!! save moddel
epoch:3014/50000,train loss:0.78686372,train accuracy:62.023082%,valid loss:0.77124849,valid accuracy:63.940815%
loss is 0.771248, is decreasing!! save moddel
epoch:3015/50000,train loss:0.78685224,train accuracy:62.023670%,valid loss:0.77122618,valid accuracy:63.942168%
loss is 0.771226, is decreasing!! save moddel
epoch:3016/50000,train loss:0.78684203,train accuracy:62.024222%,valid loss:0.77120821,valid accuracy:63.942173%
loss is 0.771208, is decreasing!! save moddel
epoch:3017/50000,train loss:0.78682984,train accuracy:62.024404%,valid loss:0.77118969,valid accuracy:63.942489%
loss is 0.771190, is decreasing!! save moddel
epoch:3018/50000,train loss:0.78681450,train accuracy:62.025362%,valid loss:0.77119191,valid accuracy:63.941460%
epoch:3019/50000,train loss:0.78681130,train accuracy:62.025450%,valid loss:0.77118032,valid accuracy:63.940961%
loss is 0.771180, is decreasing!! save moddel
epoch:3020/50000,train loss:0.78680142,train accuracy:62.026207%,valid loss:0.77115789,valid accuracy:63.943126%
loss is 0.771158, is decreasing!! save moddel
epoch:3021/50000,train loss:0.78679518,train accuracy:62.026362%,valid loss:0.77113848,valid accuracy:63.944992%
loss is 0.771138, is decreasing!! save moddel
epoch:3022/50000,train loss:0.78678304,train accuracy:62.026708%,valid loss:0.77115321,valid accuracy:63.943963%
epoch:3023/50000,train loss:0.78678434,train accuracy:62.026104%,valid loss:0.77114073,valid accuracy:63.943735%
epoch:3024/50000,train loss:0.78676770,train accuracy:62.026766%,valid loss:0.77112368,valid accuracy:63.944219%
loss is 0.771124, is decreasing!! save moddel
epoch:3025/50000,train loss:0.78676093,train accuracy:62.026629%,valid loss:0.77111400,valid accuracy:63.944199%
loss is 0.771114, is decreasing!! save moddel
epoch:3026/50000,train loss:0.78674855,train accuracy:62.027486%,valid loss:0.77111025,valid accuracy:63.943223%
loss is 0.771110, is decreasing!! save moddel
epoch:3027/50000,train loss:0.78673393,train accuracy:62.027693%,valid loss:0.77111246,valid accuracy:63.942725%
epoch:3028/50000,train loss:0.78671904,train accuracy:62.028912%,valid loss:0.77110007,valid accuracy:63.941686%
loss is 0.771100, is decreasing!! save moddel
epoch:3029/50000,train loss:0.78672009,train accuracy:62.029038%,valid loss:0.77108527,valid accuracy:63.940893%
loss is 0.771085, is decreasing!! save moddel
epoch:3030/50000,train loss:0.78670419,train accuracy:62.029533%,valid loss:0.77107369,valid accuracy:63.940642%
loss is 0.771074, is decreasing!! save moddel
epoch:3031/50000,train loss:0.78668871,train accuracy:62.030183%,valid loss:0.77106012,valid accuracy:63.940133%
loss is 0.771060, is decreasing!! save moddel
epoch:3032/50000,train loss:0.78668477,train accuracy:62.030181%,valid loss:0.77106994,valid accuracy:63.939392%
epoch:3033/50000,train loss:0.78667474,train accuracy:62.029886%,valid loss:0.77106993,valid accuracy:63.938601%
epoch:3034/50000,train loss:0.78666687,train accuracy:62.029454%,valid loss:0.77105675,valid accuracy:63.940731%
loss is 0.771057, is decreasing!! save moddel
epoch:3035/50000,train loss:0.78666437,train accuracy:62.028747%,valid loss:0.77104155,valid accuracy:63.941572%
loss is 0.771042, is decreasing!! save moddel
epoch:3036/50000,train loss:0.78667239,train accuracy:62.027819%,valid loss:0.77103534,valid accuracy:63.940819%
loss is 0.771035, is decreasing!! save moddel
epoch:3037/50000,train loss:0.78667566,train accuracy:62.027447%,valid loss:0.77102328,valid accuracy:63.940838%
loss is 0.771023, is decreasing!! save moddel
epoch:3038/50000,train loss:0.78666765,train accuracy:62.027396%,valid loss:0.77100712,valid accuracy:63.943517%
loss is 0.771007, is decreasing!! save moddel
epoch:3039/50000,train loss:0.78666639,train accuracy:62.027036%,valid loss:0.77099315,valid accuracy:63.946412%
loss is 0.770993, is decreasing!! save moddel
epoch:3040/50000,train loss:0.78667199,train accuracy:62.026488%,valid loss:0.77097910,valid accuracy:63.948329%
loss is 0.770979, is decreasing!! save moddel
epoch:3041/50000,train loss:0.78667295,train accuracy:62.026358%,valid loss:0.77097337,valid accuracy:63.947537%
loss is 0.770973, is decreasing!! save moddel
epoch:3042/50000,train loss:0.78666748,train accuracy:62.026324%,valid loss:0.77097731,valid accuracy:63.946514%
epoch:3043/50000,train loss:0.78666164,train accuracy:62.026742%,valid loss:0.77097671,valid accuracy:63.945748%
epoch:3044/50000,train loss:0.78666007,train accuracy:62.026580%,valid loss:0.77095990,valid accuracy:63.947587%
loss is 0.770960, is decreasing!! save moddel
epoch:3045/50000,train loss:0.78666610,train accuracy:62.025239%,valid loss:0.77095308,valid accuracy:63.947141%
loss is 0.770953, is decreasing!! save moddel
epoch:3046/50000,train loss:0.78668125,train accuracy:62.023643%,valid loss:0.77094093,valid accuracy:63.947978%
loss is 0.770941, is decreasing!! save moddel
epoch:3047/50000,train loss:0.78667481,train accuracy:62.024120%,valid loss:0.77092943,valid accuracy:63.949314%
loss is 0.770929, is decreasing!! save moddel
epoch:3048/50000,train loss:0.78667202,train accuracy:62.023508%,valid loss:0.77092559,valid accuracy:63.948805%
loss is 0.770926, is decreasing!! save moddel
epoch:3049/50000,train loss:0.78667836,train accuracy:62.022333%,valid loss:0.77091649,valid accuracy:63.950345%
loss is 0.770916, is decreasing!! save moddel
epoch:3050/50000,train loss:0.78667191,train accuracy:62.022325%,valid loss:0.77091293,valid accuracy:63.950424%
loss is 0.770913, is decreasing!! save moddel
epoch:3051/50000,train loss:0.78668748,train accuracy:62.020519%,valid loss:0.77092343,valid accuracy:63.949391%
epoch:3052/50000,train loss:0.78668387,train accuracy:62.021082%,valid loss:0.77091101,valid accuracy:63.949163%
loss is 0.770911, is decreasing!! save moddel
epoch:3053/50000,train loss:0.78668929,train accuracy:62.020289%,valid loss:0.77090308,valid accuracy:63.950433%
loss is 0.770903, is decreasing!! save moddel
epoch:3054/50000,train loss:0.78668112,train accuracy:62.020445%,valid loss:0.77089100,valid accuracy:63.952533%
loss is 0.770891, is decreasing!! save moddel
epoch:3055/50000,train loss:0.78668094,train accuracy:62.020514%,valid loss:0.77088154,valid accuracy:63.954387%
loss is 0.770882, is decreasing!! save moddel
epoch:3056/50000,train loss:0.78667176,train accuracy:62.021460%,valid loss:0.77086885,valid accuracy:63.955181%
loss is 0.770869, is decreasing!! save moddel
epoch:3057/50000,train loss:0.78666197,train accuracy:62.022091%,valid loss:0.77085669,valid accuracy:63.956012%
loss is 0.770857, is decreasing!! save moddel
epoch:3058/50000,train loss:0.78667321,train accuracy:62.020942%,valid loss:0.77086456,valid accuracy:63.954979%
epoch:3059/50000,train loss:0.78667841,train accuracy:62.019990%,valid loss:0.77085419,valid accuracy:63.955784%
loss is 0.770854, is decreasing!! save moddel
epoch:3060/50000,train loss:0.78667485,train accuracy:62.019481%,valid loss:0.77084530,valid accuracy:63.955275%
loss is 0.770845, is decreasing!! save moddel
epoch:3061/50000,train loss:0.78666699,train accuracy:62.019306%,valid loss:0.77083493,valid accuracy:63.956845%
loss is 0.770835, is decreasing!! save moddel
epoch:3062/50000,train loss:0.78669124,train accuracy:62.018222%,valid loss:0.77083969,valid accuracy:63.955776%
epoch:3063/50000,train loss:0.78668118,train accuracy:62.018496%,valid loss:0.77082618,valid accuracy:63.957663%
loss is 0.770826, is decreasing!! save moddel
epoch:3064/50000,train loss:0.78667362,train accuracy:62.018823%,valid loss:0.77081382,valid accuracy:63.957701%
loss is 0.770814, is decreasing!! save moddel
epoch:3065/50000,train loss:0.78666526,train accuracy:62.018937%,valid loss:0.77081224,valid accuracy:63.955868%
loss is 0.770812, is decreasing!! save moddel
epoch:3066/50000,train loss:0.78665608,train accuracy:62.019805%,valid loss:0.77080915,valid accuracy:63.955272%
loss is 0.770809, is decreasing!! save moddel
epoch:3067/50000,train loss:0.78664940,train accuracy:62.020478%,valid loss:0.77080321,valid accuracy:63.954764%
loss is 0.770803, is decreasing!! save moddel
epoch:3068/50000,train loss:0.78663955,train accuracy:62.020819%,valid loss:0.77080393,valid accuracy:63.953965%
epoch:3069/50000,train loss:0.78663560,train accuracy:62.020066%,valid loss:0.77079287,valid accuracy:63.953445%
loss is 0.770793, is decreasing!! save moddel
epoch:3070/50000,train loss:0.78662661,train accuracy:62.020017%,valid loss:0.77077569,valid accuracy:63.956358%
loss is 0.770776, is decreasing!! save moddel
epoch:3071/50000,train loss:0.78662605,train accuracy:62.020400%,valid loss:0.77077300,valid accuracy:63.955609%
loss is 0.770773, is decreasing!! save moddel
epoch:3072/50000,train loss:0.78662182,train accuracy:62.019713%,valid loss:0.77076229,valid accuracy:63.955090%
loss is 0.770762, is decreasing!! save moddel
epoch:3073/50000,train loss:0.78663003,train accuracy:62.018293%,valid loss:0.77075394,valid accuracy:63.955575%
loss is 0.770754, is decreasing!! save moddel
epoch:3074/50000,train loss:0.78662718,train accuracy:62.018396%,valid loss:0.77074207,valid accuracy:63.956884%
loss is 0.770742, is decreasing!! save moddel
epoch:3075/50000,train loss:0.78661785,train accuracy:62.019116%,valid loss:0.77073025,valid accuracy:63.957201%
loss is 0.770730, is decreasing!! save moddel
epoch:3076/50000,train loss:0.78662971,train accuracy:62.018398%,valid loss:0.77073224,valid accuracy:63.956607%
epoch:3077/50000,train loss:0.78663242,train accuracy:62.018656%,valid loss:0.77074677,valid accuracy:63.956292%
epoch:3078/50000,train loss:0.78663779,train accuracy:62.017652%,valid loss:0.77074730,valid accuracy:63.955836%
epoch:3079/50000,train loss:0.78663633,train accuracy:62.017148%,valid loss:0.77076229,valid accuracy:63.955014%
epoch:3080/50000,train loss:0.78664261,train accuracy:62.016791%,valid loss:0.77074833,valid accuracy:63.955838%
epoch:3081/50000,train loss:0.78663547,train accuracy:62.016380%,valid loss:0.77073727,valid accuracy:63.955827%
epoch:3082/50000,train loss:0.78663888,train accuracy:62.016199%,valid loss:0.77073316,valid accuracy:63.955359%
epoch:3083/50000,train loss:0.78665154,train accuracy:62.015115%,valid loss:0.77072349,valid accuracy:63.954817%
loss is 0.770723, is decreasing!! save moddel
epoch:3084/50000,train loss:0.78665044,train accuracy:62.015145%,valid loss:0.77071479,valid accuracy:63.954781%
loss is 0.770715, is decreasing!! save moddel
epoch:3085/50000,train loss:0.78666277,train accuracy:62.013697%,valid loss:0.77070469,valid accuracy:63.955567%
loss is 0.770705, is decreasing!! save moddel
epoch:3086/50000,train loss:0.78667946,train accuracy:62.011981%,valid loss:0.77069732,valid accuracy:63.955606%
loss is 0.770697, is decreasing!! save moddel
epoch:3087/50000,train loss:0.78667798,train accuracy:62.011799%,valid loss:0.77069412,valid accuracy:63.955582%
loss is 0.770694, is decreasing!! save moddel
epoch:3088/50000,train loss:0.78669367,train accuracy:62.010370%,valid loss:0.77070249,valid accuracy:63.954560%
epoch:3089/50000,train loss:0.78669729,train accuracy:62.009686%,valid loss:0.77069547,valid accuracy:63.953778%
epoch:3090/50000,train loss:0.78670147,train accuracy:62.008511%,valid loss:0.77069011,valid accuracy:63.953300%
loss is 0.770690, is decreasing!! save moddel
epoch:3091/50000,train loss:0.78670899,train accuracy:62.007473%,valid loss:0.77068707,valid accuracy:63.952494%
loss is 0.770687, is decreasing!! save moddel
epoch:3092/50000,train loss:0.78670924,train accuracy:62.007125%,valid loss:0.77067803,valid accuracy:63.951954%
loss is 0.770678, is decreasing!! save moddel
epoch:3093/50000,train loss:0.78670249,train accuracy:62.006929%,valid loss:0.77066739,valid accuracy:63.953004%
loss is 0.770667, is decreasing!! save moddel
epoch:3094/50000,train loss:0.78673268,train accuracy:62.004724%,valid loss:0.77065915,valid accuracy:63.954810%
loss is 0.770659, is decreasing!! save moddel
epoch:3095/50000,train loss:0.78673773,train accuracy:62.004141%,valid loss:0.77065470,valid accuracy:63.955040%
loss is 0.770655, is decreasing!! save moddel
epoch:3096/50000,train loss:0.78674966,train accuracy:62.003358%,valid loss:0.77064621,valid accuracy:63.955823%
loss is 0.770646, is decreasing!! save moddel
epoch:3097/50000,train loss:0.78675278,train accuracy:62.002594%,valid loss:0.77064598,valid accuracy:63.955018%
loss is 0.770646, is decreasing!! save moddel
epoch:3098/50000,train loss:0.78675581,train accuracy:62.002212%,valid loss:0.77065063,valid accuracy:63.953458%
epoch:3099/50000,train loss:0.78675106,train accuracy:62.002436%,valid loss:0.77064397,valid accuracy:63.953712%
loss is 0.770644, is decreasing!! save moddel
epoch:3100/50000,train loss:0.78675175,train accuracy:62.002040%,valid loss:0.77063915,valid accuracy:63.954218%
loss is 0.770639, is decreasing!! save moddel
epoch:3101/50000,train loss:0.78675950,train accuracy:62.000202%,valid loss:0.77065375,valid accuracy:63.953464%
epoch:3102/50000,train loss:0.78676031,train accuracy:61.999750%,valid loss:0.77065658,valid accuracy:63.952723%
epoch:3103/50000,train loss:0.78676783,train accuracy:61.998576%,valid loss:0.77064967,valid accuracy:63.952498%
epoch:3104/50000,train loss:0.78678646,train accuracy:61.997427%,valid loss:0.77065063,valid accuracy:63.951746%
epoch:3105/50000,train loss:0.78678415,train accuracy:61.997627%,valid loss:0.77064478,valid accuracy:63.953056%
epoch:3106/50000,train loss:0.78678352,train accuracy:61.997007%,valid loss:0.77064310,valid accuracy:63.952341%
epoch:3107/50000,train loss:0.78681414,train accuracy:61.994427%,valid loss:0.77064361,valid accuracy:63.951577%
epoch:3108/50000,train loss:0.78682975,train accuracy:61.993157%,valid loss:0.77065224,valid accuracy:63.949005%
epoch:3109/50000,train loss:0.78683253,train accuracy:61.992774%,valid loss:0.77064562,valid accuracy:63.949573%
epoch:3110/50000,train loss:0.78683836,train accuracy:61.992356%,valid loss:0.77064321,valid accuracy:63.949613%
epoch:3111/50000,train loss:0.78684211,train accuracy:61.992285%,valid loss:0.77063717,valid accuracy:63.951160%
loss is 0.770637, is decreasing!! save moddel
epoch:3112/50000,train loss:0.78684463,train accuracy:61.991560%,valid loss:0.77064053,valid accuracy:63.950636%
epoch:3113/50000,train loss:0.78684777,train accuracy:61.991180%,valid loss:0.77063699,valid accuracy:63.951404%
loss is 0.770637, is decreasing!! save moddel
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epoch:3116/50000,train loss:0.78687130,train accuracy:61.989930%,valid loss:0.77064665,valid accuracy:63.950258%
epoch:3117/50000,train loss:0.78688642,train accuracy:61.989207%,valid loss:0.77064215,valid accuracy:63.949710%
epoch:3118/50000,train loss:0.78689019,train accuracy:61.988734%,valid loss:0.77065871,valid accuracy:63.948626%
epoch:3119/50000,train loss:0.78691679,train accuracy:61.987060%,valid loss:0.77065640,valid accuracy:63.947853%
epoch:3120/50000,train loss:0.78691207,train accuracy:61.986255%,valid loss:0.77066291,valid accuracy:63.945494%
epoch:3121/50000,train loss:0.78692662,train accuracy:61.984676%,valid loss:0.77065712,valid accuracy:63.944723%
epoch:3122/50000,train loss:0.78693001,train accuracy:61.983838%,valid loss:0.77065742,valid accuracy:63.944252%
epoch:3123/50000,train loss:0.78694116,train accuracy:61.982925%,valid loss:0.77065282,valid accuracy:63.943232%
epoch:3124/50000,train loss:0.78695947,train accuracy:61.981355%,valid loss:0.77064859,valid accuracy:63.942463%
epoch:3125/50000,train loss:0.78696667,train accuracy:61.980594%,valid loss:0.77065348,valid accuracy:63.941993%
epoch:3126/50000,train loss:0.78698345,train accuracy:61.979418%,valid loss:0.77064585,valid accuracy:63.940938%
epoch:3127/50000,train loss:0.78698650,train accuracy:61.978953%,valid loss:0.77065232,valid accuracy:63.940384%
epoch:3128/50000,train loss:0.78698111,train accuracy:61.978836%,valid loss:0.77064583,valid accuracy:63.939056%
epoch:3129/50000,train loss:0.78699371,train accuracy:61.977745%,valid loss:0.77067627,valid accuracy:63.938064%
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epoch:3133/50000,train loss:0.78700792,train accuracy:61.976508%,valid loss:0.77066637,valid accuracy:63.938950%
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epoch:3135/50000,train loss:0.78702319,train accuracy:61.975450%,valid loss:0.77067688,valid accuracy:63.937395%
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epoch:3170/50000,train loss:0.78716463,train accuracy:61.959128%,valid loss:0.77069043,valid accuracy:63.926490%
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epoch:3173/50000,train loss:0.78718343,train accuracy:61.958400%,valid loss:0.77067837,valid accuracy:63.925662%
epoch:3174/50000,train loss:0.78721719,train accuracy:61.956190%,valid loss:0.77068453,valid accuracy:63.925169%
epoch:3175/50000,train loss:0.78721395,train accuracy:61.956137%,valid loss:0.77067777,valid accuracy:63.926986%
epoch:3176/50000,train loss:0.78723223,train accuracy:61.954914%,valid loss:0.77070168,valid accuracy:63.926517%
epoch:3177/50000,train loss:0.78726245,train accuracy:61.953062%,valid loss:0.77070616,valid accuracy:63.926060%
epoch:3178/50000,train loss:0.78729241,train accuracy:61.951210%,valid loss:0.77070422,valid accuracy:63.925801%
epoch:3179/50000,train loss:0.78733244,train accuracy:61.948080%,valid loss:0.77071802,valid accuracy:63.924301%
epoch:3180/50000,train loss:0.78734458,train accuracy:61.947244%,valid loss:0.77073220,valid accuracy:63.923918%
epoch:3181/50000,train loss:0.78734958,train accuracy:61.946902%,valid loss:0.77073120,valid accuracy:63.923450%
epoch:3182/50000,train loss:0.78738667,train accuracy:61.944260%,valid loss:0.77075423,valid accuracy:63.922935%
epoch:3183/50000,train loss:0.78739303,train accuracy:61.942820%,valid loss:0.77076470,valid accuracy:63.921904%
epoch:3184/50000,train loss:0.78742392,train accuracy:61.940951%,valid loss:0.77076871,valid accuracy:63.921438%
epoch:3185/50000,train loss:0.78743529,train accuracy:61.939579%,valid loss:0.77076837,valid accuracy:63.920469%
epoch:3186/50000,train loss:0.78744226,train accuracy:61.939501%,valid loss:0.77077267,valid accuracy:63.919758%
epoch:3187/50000,train loss:0.78747228,train accuracy:61.937535%,valid loss:0.77077090,valid accuracy:63.919502%
epoch:3188/50000,train loss:0.78747386,train accuracy:61.937049%,valid loss:0.77077342,valid accuracy:63.919257%
epoch:3189/50000,train loss:0.78748780,train accuracy:61.936620%,valid loss:0.77079292,valid accuracy:63.918206%
epoch:3190/50000,train loss:0.78751218,train accuracy:61.935523%,valid loss:0.77078761,valid accuracy:63.917706%
epoch:3191/50000,train loss:0.78751889,train accuracy:61.935177%,valid loss:0.77080486,valid accuracy:63.916973%
epoch:3192/50000,train loss:0.78752393,train accuracy:61.934634%,valid loss:0.77080892,valid accuracy:63.916533%
epoch:3193/50000,train loss:0.78753654,train accuracy:61.933301%,valid loss:0.77080145,valid accuracy:63.917793%
epoch:3194/50000,train loss:0.78753714,train accuracy:61.932670%,valid loss:0.77079575,valid accuracy:63.919286%
epoch:3195/50000,train loss:0.78754141,train accuracy:61.932601%,valid loss:0.77079954,valid accuracy:63.918469%
epoch:3196/50000,train loss:0.78753867,train accuracy:61.932816%,valid loss:0.77079890,valid accuracy:63.916992%
epoch:3197/50000,train loss:0.78756080,train accuracy:61.931193%,valid loss:0.77079290,valid accuracy:63.916773%
epoch:3198/50000,train loss:0.78756135,train accuracy:61.930254%,valid loss:0.77078797,valid accuracy:63.917335%
epoch:3199/50000,train loss:0.78757777,train accuracy:61.929320%,valid loss:0.77082861,valid accuracy:63.915860%
epoch:3200/50000,train loss:0.78759769,train accuracy:61.927478%,valid loss:0.77084087,valid accuracy:63.912348%
epoch:3201/50000,train loss:0.78760966,train accuracy:61.926665%,valid loss:0.77083359,valid accuracy:63.913887%
epoch:3202/50000,train loss:0.78762551,train accuracy:61.925729%,valid loss:0.77082908,valid accuracy:63.915913%
epoch:3203/50000,train loss:0.78765552,train accuracy:61.923818%,valid loss:0.77081872,valid accuracy:63.917462%
epoch:3204/50000,train loss:0.78767013,train accuracy:61.922955%,valid loss:0.77081279,valid accuracy:63.917183%
epoch:3205/50000,train loss:0.78766613,train accuracy:61.922005%,valid loss:0.77080385,valid accuracy:63.919206%
epoch:3206/50000,train loss:0.78766767,train accuracy:61.921154%,valid loss:0.77079352,valid accuracy:63.922250%
epoch:3207/50000,train loss:0.78770738,train accuracy:61.918264%,valid loss:0.77079323,valid accuracy:63.922018%
epoch:3208/50000,train loss:0.78772780,train accuracy:61.916399%,valid loss:0.77078529,valid accuracy:63.921056%
epoch:3209/50000,train loss:0.78773611,train accuracy:61.916018%,valid loss:0.77077810,valid accuracy:63.920546%
epoch:3210/50000,train loss:0.78773695,train accuracy:61.915752%,valid loss:0.77077662,valid accuracy:63.919792%
epoch:3211/50000,train loss:0.78774549,train accuracy:61.914993%,valid loss:0.77077772,valid accuracy:63.917544%
epoch:3212/50000,train loss:0.78776221,train accuracy:61.913325%,valid loss:0.77077018,valid accuracy:63.919100%
epoch:3213/50000,train loss:0.78776538,train accuracy:61.913051%,valid loss:0.77076368,valid accuracy:63.919854%
epoch:3214/50000,train loss:0.78777871,train accuracy:61.912236%,valid loss:0.77075900,valid accuracy:63.920655%
epoch:3215/50000,train loss:0.78778021,train accuracy:61.912239%,valid loss:0.77075631,valid accuracy:63.920667%
epoch:3216/50000,train loss:0.78779472,train accuracy:61.911334%,valid loss:0.77075124,valid accuracy:63.920667%
epoch:3217/50000,train loss:0.78779148,train accuracy:61.912113%,valid loss:0.77074763,valid accuracy:63.920644%
epoch:3218/50000,train loss:0.78779288,train accuracy:61.911914%,valid loss:0.77075234,valid accuracy:63.919454%
epoch:3219/50000,train loss:0.78780052,train accuracy:61.911374%,valid loss:0.77074681,valid accuracy:63.919189%
epoch:3220/50000,train loss:0.78781578,train accuracy:61.910397%,valid loss:0.77074303,valid accuracy:63.919941%
epoch:3221/50000,train loss:0.78781517,train accuracy:61.910239%,valid loss:0.77073575,valid accuracy:63.920136%
epoch:3222/50000,train loss:0.78781052,train accuracy:61.910299%,valid loss:0.77073522,valid accuracy:63.920220%
epoch:3223/50000,train loss:0.78780652,train accuracy:61.910047%,valid loss:0.77075585,valid accuracy:63.916538%
epoch:3224/50000,train loss:0.78782875,train accuracy:61.908599%,valid loss:0.77075643,valid accuracy:63.916587%
epoch:3225/50000,train loss:0.78785578,train accuracy:61.906064%,valid loss:0.77077301,valid accuracy:63.915390%
epoch:3226/50000,train loss:0.78788026,train accuracy:61.904430%,valid loss:0.77077190,valid accuracy:63.915126%
epoch:3227/50000,train loss:0.78787931,train accuracy:61.904587%,valid loss:0.77076565,valid accuracy:63.914910%
epoch:3228/50000,train loss:0.78787910,train accuracy:61.905197%,valid loss:0.77076385,valid accuracy:63.914416%
epoch:3229/50000,train loss:0.78787822,train accuracy:61.904694%,valid loss:0.77074974,valid accuracy:63.915168%
epoch:3230/50000,train loss:0.78786478,train accuracy:61.905222%,valid loss:0.77073499,valid accuracy:63.917706%
epoch:3231/50000,train loss:0.78786062,train accuracy:61.905028%,valid loss:0.77072350,valid accuracy:63.917720%
epoch:3232/50000,train loss:0.78786526,train accuracy:61.903851%,valid loss:0.77072702,valid accuracy:63.916766%
epoch:3233/50000,train loss:0.78786346,train accuracy:61.904083%,valid loss:0.77071245,valid accuracy:63.919025%
epoch:3234/50000,train loss:0.78785711,train accuracy:61.904867%,valid loss:0.77069714,valid accuracy:63.921029%
epoch:3235/50000,train loss:0.78785785,train accuracy:61.904727%,valid loss:0.77068714,valid accuracy:63.920776%
epoch:3236/50000,train loss:0.78784870,train accuracy:61.905366%,valid loss:0.77067213,valid accuracy:63.923261%
epoch:3237/50000,train loss:0.78783601,train accuracy:61.906144%,valid loss:0.77066197,valid accuracy:63.923320%
epoch:3238/50000,train loss:0.78782409,train accuracy:61.907048%,valid loss:0.77065044,valid accuracy:63.924102%
epoch:3239/50000,train loss:0.78781410,train accuracy:61.907461%,valid loss:0.77063591,valid accuracy:63.927125%
epoch:3240/50000,train loss:0.78780623,train accuracy:61.907979%,valid loss:0.77062298,valid accuracy:63.927641%
loss is 0.770623, is decreasing!! save moddel
epoch:3241/50000,train loss:0.78779323,train accuracy:61.908808%,valid loss:0.77062284,valid accuracy:63.925206%
loss is 0.770623, is decreasing!! save moddel
epoch:3242/50000,train loss:0.78778555,train accuracy:61.909591%,valid loss:0.77060920,valid accuracy:63.926251%
loss is 0.770609, is decreasing!! save moddel
epoch:3243/50000,train loss:0.78778320,train accuracy:61.908752%,valid loss:0.77059408,valid accuracy:63.928236%
loss is 0.770594, is decreasing!! save moddel
epoch:3244/50000,train loss:0.78780849,train accuracy:61.907783%,valid loss:0.77058597,valid accuracy:63.928005%
loss is 0.770586, is decreasing!! save moddel
epoch:3245/50000,train loss:0.78780966,train accuracy:61.907571%,valid loss:0.77058060,valid accuracy:63.928074%
loss is 0.770581, is decreasing!! save moddel
epoch:3246/50000,train loss:0.78783760,train accuracy:61.905353%,valid loss:0.77057346,valid accuracy:63.927819%
loss is 0.770573, is decreasing!! save moddel
epoch:3247/50000,train loss:0.78784696,train accuracy:61.905022%,valid loss:0.77056443,valid accuracy:63.928164%
loss is 0.770564, is decreasing!! save moddel
epoch:3248/50000,train loss:0.78784627,train accuracy:61.905323%,valid loss:0.77055935,valid accuracy:63.927646%
loss is 0.770559, is decreasing!! save moddel
epoch:3249/50000,train loss:0.78784624,train accuracy:61.905560%,valid loss:0.77055263,valid accuracy:63.927668%
loss is 0.770553, is decreasing!! save moddel
epoch:3250/50000,train loss:0.78785482,train accuracy:61.904036%,valid loss:0.77055055,valid accuracy:63.927402%
loss is 0.770551, is decreasing!! save moddel
epoch:3251/50000,train loss:0.78784751,train accuracy:61.904794%,valid loss:0.77054415,valid accuracy:63.927231%
loss is 0.770544, is decreasing!! save moddel
epoch:3252/50000,train loss:0.78784269,train accuracy:61.905240%,valid loss:0.77053581,valid accuracy:63.927745%
loss is 0.770536, is decreasing!! save moddel
epoch:3253/50000,train loss:0.78787021,train accuracy:61.903372%,valid loss:0.77056232,valid accuracy:63.927263%
epoch:3254/50000,train loss:0.78786731,train accuracy:61.903256%,valid loss:0.77056048,valid accuracy:63.927308%
epoch:3255/50000,train loss:0.78787294,train accuracy:61.903076%,valid loss:0.77054851,valid accuracy:63.927511%
epoch:3256/50000,train loss:0.78787883,train accuracy:61.902277%,valid loss:0.77055094,valid accuracy:63.927234%
epoch:3257/50000,train loss:0.78788218,train accuracy:61.901100%,valid loss:0.77055580,valid accuracy:63.927052%
epoch:3258/50000,train loss:0.78787861,train accuracy:61.900867%,valid loss:0.77055283,valid accuracy:63.926932%
epoch:3259/50000,train loss:0.78789014,train accuracy:61.899883%,valid loss:0.77055000,valid accuracy:63.926632%
epoch:3260/50000,train loss:0.78789748,train accuracy:61.899491%,valid loss:0.77053919,valid accuracy:63.926952%
epoch:3261/50000,train loss:0.78790145,train accuracy:61.898731%,valid loss:0.77052871,valid accuracy:63.926483%
loss is 0.770529, is decreasing!! save moddel
epoch:3262/50000,train loss:0.78790314,train accuracy:61.898499%,valid loss:0.77052822,valid accuracy:63.926506%
loss is 0.770528, is decreasing!! save moddel
epoch:3263/50000,train loss:0.78789600,train accuracy:61.898600%,valid loss:0.77051907,valid accuracy:63.926265%
loss is 0.770519, is decreasing!! save moddel
epoch:3264/50000,train loss:0.78790248,train accuracy:61.898392%,valid loss:0.77052180,valid accuracy:63.926024%
epoch:3265/50000,train loss:0.78791164,train accuracy:61.896907%,valid loss:0.77051056,valid accuracy:63.926046%
loss is 0.770511, is decreasing!! save moddel
epoch:3266/50000,train loss:0.78791798,train accuracy:61.896541%,valid loss:0.77049887,valid accuracy:63.926068%
loss is 0.770499, is decreasing!! save moddel
epoch:3267/50000,train loss:0.78792320,train accuracy:61.896055%,valid loss:0.77048483,valid accuracy:63.929567%
loss is 0.770485, is decreasing!! save moddel
epoch:3268/50000,train loss:0.78791298,train accuracy:61.897305%,valid loss:0.77047127,valid accuracy:63.930794%
loss is 0.770471, is decreasing!! save moddel
epoch:3269/50000,train loss:0.78790899,train accuracy:61.898291%,valid loss:0.77046243,valid accuracy:63.931066%
loss is 0.770462, is decreasing!! save moddel
epoch:3270/50000,train loss:0.78790124,train accuracy:61.898662%,valid loss:0.77044917,valid accuracy:63.932065%
loss is 0.770449, is decreasing!! save moddel
epoch:3271/50000,train loss:0.78791311,train accuracy:61.898145%,valid loss:0.77043412,valid accuracy:63.935033%
loss is 0.770434, is decreasing!! save moddel
epoch:3272/50000,train loss:0.78790069,train accuracy:61.898493%,valid loss:0.77042363,valid accuracy:63.935291%
loss is 0.770424, is decreasing!! save moddel
epoch:3273/50000,train loss:0.78789720,train accuracy:61.898573%,valid loss:0.77045290,valid accuracy:63.933843%
epoch:3274/50000,train loss:0.78789183,train accuracy:61.898698%,valid loss:0.77044165,valid accuracy:63.934555%
epoch:3275/50000,train loss:0.78788515,train accuracy:61.898791%,valid loss:0.77042636,valid accuracy:63.934587%
epoch:3276/50000,train loss:0.78787046,train accuracy:61.899958%,valid loss:0.77041233,valid accuracy:63.934606%
loss is 0.770412, is decreasing!! save moddel
epoch:3277/50000,train loss:0.78787228,train accuracy:61.899661%,valid loss:0.77040242,valid accuracy:63.934661%
loss is 0.770402, is decreasing!! save moddel
epoch:3278/50000,train loss:0.78787747,train accuracy:61.899103%,valid loss:0.77040213,valid accuracy:63.934215%
loss is 0.770402, is decreasing!! save moddel
epoch:3279/50000,train loss:0.78786966,train accuracy:61.899355%,valid loss:0.77038839,valid accuracy:63.935937%
loss is 0.770388, is decreasing!! save moddel
epoch:3280/50000,train loss:0.78785886,train accuracy:61.900170%,valid loss:0.77037497,valid accuracy:63.936421%
loss is 0.770375, is decreasing!! save moddel
epoch:3281/50000,train loss:0.78785128,train accuracy:61.900356%,valid loss:0.77036491,valid accuracy:63.936678%
loss is 0.770365, is decreasing!! save moddel
epoch:3282/50000,train loss:0.78784331,train accuracy:61.900570%,valid loss:0.77035181,valid accuracy:63.938874%
loss is 0.770352, is decreasing!! save moddel
epoch:3283/50000,train loss:0.78785035,train accuracy:61.900221%,valid loss:0.77034244,valid accuracy:63.939118%
loss is 0.770342, is decreasing!! save moddel
epoch:3284/50000,train loss:0.78783823,train accuracy:61.900804%,valid loss:0.77033162,valid accuracy:63.939136%
loss is 0.770332, is decreasing!! save moddel
epoch:3285/50000,train loss:0.78782847,train accuracy:61.901879%,valid loss:0.77032212,valid accuracy:63.939427%
loss is 0.770322, is decreasing!! save moddel
epoch:3286/50000,train loss:0.78781570,train accuracy:61.903215%,valid loss:0.77031623,valid accuracy:63.938981%
loss is 0.770316, is decreasing!! save moddel
epoch:3287/50000,train loss:0.78781105,train accuracy:61.902950%,valid loss:0.77031266,valid accuracy:63.939034%
loss is 0.770313, is decreasing!! save moddel
epoch:3288/50000,train loss:0.78780429,train accuracy:61.902550%,valid loss:0.77029451,valid accuracy:63.941439%
loss is 0.770295, is decreasing!! save moddel
epoch:3289/50000,train loss:0.78779548,train accuracy:61.903196%,valid loss:0.77029083,valid accuracy:63.941208%
loss is 0.770291, is decreasing!! save moddel
epoch:3290/50000,train loss:0.78778470,train accuracy:61.903369%,valid loss:0.77027918,valid accuracy:63.941474%
loss is 0.770279, is decreasing!! save moddel
epoch:3291/50000,train loss:0.78777490,train accuracy:61.903454%,valid loss:0.77026858,valid accuracy:63.942464%
loss is 0.770269, is decreasing!! save moddel
epoch:3292/50000,train loss:0.78776518,train accuracy:61.904531%,valid loss:0.77025309,valid accuracy:63.944935%
loss is 0.770253, is decreasing!! save moddel
epoch:3293/50000,train loss:0.78775050,train accuracy:61.905213%,valid loss:0.77024041,valid accuracy:63.945484%
loss is 0.770240, is decreasing!! save moddel
epoch:3294/50000,train loss:0.78773435,train accuracy:61.906260%,valid loss:0.77022296,valid accuracy:63.948652%
loss is 0.770223, is decreasing!! save moddel
epoch:3295/50000,train loss:0.78773512,train accuracy:61.905832%,valid loss:0.77020771,valid accuracy:63.948407%
loss is 0.770208, is decreasing!! save moddel
epoch:3296/50000,train loss:0.78772244,train accuracy:61.906895%,valid loss:0.77020868,valid accuracy:63.947983%
epoch:3297/50000,train loss:0.78771223,train accuracy:61.907294%,valid loss:0.77019480,valid accuracy:63.947762%
loss is 0.770195, is decreasing!! save moddel
epoch:3298/50000,train loss:0.78770078,train accuracy:61.908102%,valid loss:0.77017683,valid accuracy:63.949978%
loss is 0.770177, is decreasing!! save moddel
epoch:3299/50000,train loss:0.78769789,train accuracy:61.908240%,valid loss:0.77016340,valid accuracy:63.950715%
loss is 0.770163, is decreasing!! save moddel
epoch:3300/50000,train loss:0.78768924,train accuracy:61.908354%,valid loss:0.77014891,valid accuracy:63.952444%
loss is 0.770149, is decreasing!! save moddel
epoch:3301/50000,train loss:0.78768414,train accuracy:61.908760%,valid loss:0.77013477,valid accuracy:63.954196%
loss is 0.770135, is decreasing!! save moddel
epoch:3302/50000,train loss:0.78767019,train accuracy:61.909638%,valid loss:0.77012082,valid accuracy:63.956609%
loss is 0.770121, is decreasing!! save moddel
epoch:3303/50000,train loss:0.78768058,train accuracy:61.909068%,valid loss:0.77010942,valid accuracy:63.958301%
loss is 0.770109, is decreasing!! save moddel
epoch:3304/50000,train loss:0.78767094,train accuracy:61.909229%,valid loss:0.77010485,valid accuracy:63.958100%
loss is 0.770105, is decreasing!! save moddel
epoch:3305/50000,train loss:0.78766872,train accuracy:61.909439%,valid loss:0.77012541,valid accuracy:63.957143%
epoch:3306/50000,train loss:0.78766374,train accuracy:61.909296%,valid loss:0.77013063,valid accuracy:63.956920%
epoch:3307/50000,train loss:0.78765486,train accuracy:61.910013%,valid loss:0.77011503,valid accuracy:63.957664%
epoch:3308/50000,train loss:0.78765110,train accuracy:61.909814%,valid loss:0.77010524,valid accuracy:63.957417%
epoch:3309/50000,train loss:0.78765668,train accuracy:61.909400%,valid loss:0.77010411,valid accuracy:63.957654%
loss is 0.770104, is decreasing!! save moddel
epoch:3310/50000,train loss:0.78766607,train accuracy:61.908859%,valid loss:0.77009710,valid accuracy:63.958656%
loss is 0.770097, is decreasing!! save moddel
epoch:3311/50000,train loss:0.78766414,train accuracy:61.909114%,valid loss:0.77008957,valid accuracy:63.958398%
loss is 0.770090, is decreasing!! save moddel
epoch:3312/50000,train loss:0.78765909,train accuracy:61.909103%,valid loss:0.77008886,valid accuracy:63.958174%
loss is 0.770089, is decreasing!! save moddel
epoch:3313/50000,train loss:0.78765931,train accuracy:61.909028%,valid loss:0.77008221,valid accuracy:63.958916%
loss is 0.770082, is decreasing!! save moddel
epoch:3314/50000,train loss:0.78765672,train accuracy:61.909628%,valid loss:0.77007145,valid accuracy:63.959400%
loss is 0.770071, is decreasing!! save moddel
epoch:3315/50000,train loss:0.78766412,train accuracy:61.908548%,valid loss:0.77007300,valid accuracy:63.959164%
epoch:3316/50000,train loss:0.78767265,train accuracy:61.907636%,valid loss:0.77007078,valid accuracy:63.958975%
loss is 0.770071, is decreasing!! save moddel
epoch:3317/50000,train loss:0.78766757,train accuracy:61.908480%,valid loss:0.77006065,valid accuracy:63.960917%
loss is 0.770061, is decreasing!! save moddel
epoch:3318/50000,train loss:0.78766964,train accuracy:61.908723%,valid loss:0.77010437,valid accuracy:63.959258%
epoch:3319/50000,train loss:0.78767767,train accuracy:61.907982%,valid loss:0.77009310,valid accuracy:63.961657%
epoch:3320/50000,train loss:0.78768295,train accuracy:61.907212%,valid loss:0.77008183,valid accuracy:63.961456%
epoch:3321/50000,train loss:0.78770024,train accuracy:61.905180%,valid loss:0.77007953,valid accuracy:63.961209%
epoch:3322/50000,train loss:0.78771055,train accuracy:61.904957%,valid loss:0.77007384,valid accuracy:63.961398%
epoch:3323/50000,train loss:0.78771997,train accuracy:61.903646%,valid loss:0.77006569,valid accuracy:63.961925%
epoch:3324/50000,train loss:0.78772596,train accuracy:61.903907%,valid loss:0.77005537,valid accuracy:63.962194%
loss is 0.770055, is decreasing!! save moddel
epoch:3325/50000,train loss:0.78775617,train accuracy:61.901400%,valid loss:0.77004899,valid accuracy:63.961500%
loss is 0.770049, is decreasing!! save moddel
epoch:3326/50000,train loss:0.78775028,train accuracy:61.901279%,valid loss:0.77003995,valid accuracy:63.963201%
loss is 0.770040, is decreasing!! save moddel
epoch:3327/50000,train loss:0.78777138,train accuracy:61.899957%,valid loss:0.77006543,valid accuracy:63.958848%
epoch:3328/50000,train loss:0.78777634,train accuracy:61.899071%,valid loss:0.77006090,valid accuracy:63.958367%
epoch:3329/50000,train loss:0.78779664,train accuracy:61.897507%,valid loss:0.77005775,valid accuracy:63.958379%
epoch:3330/50000,train loss:0.78779241,train accuracy:61.897685%,valid loss:0.77006052,valid accuracy:63.957642%
epoch:3331/50000,train loss:0.78778501,train accuracy:61.898329%,valid loss:0.77005247,valid accuracy:63.958603%
epoch:3332/50000,train loss:0.78778178,train accuracy:61.898438%,valid loss:0.77004455,valid accuracy:63.959822%
epoch:3333/50000,train loss:0.78778825,train accuracy:61.898070%,valid loss:0.77006537,valid accuracy:63.958393%
epoch:3334/50000,train loss:0.78782457,train accuracy:61.895577%,valid loss:0.77006084,valid accuracy:63.958159%
epoch:3335/50000,train loss:0.78781876,train accuracy:61.896278%,valid loss:0.77005378,valid accuracy:63.958206%
epoch:3336/50000,train loss:0.78781720,train accuracy:61.896371%,valid loss:0.77004969,valid accuracy:63.958218%
epoch:3337/50000,train loss:0.78781107,train accuracy:61.897632%,valid loss:0.77004089,valid accuracy:63.960429%
epoch:3338/50000,train loss:0.78780935,train accuracy:61.898331%,valid loss:0.77003554,valid accuracy:63.960217%
loss is 0.770036, is decreasing!! save moddel
epoch:3339/50000,train loss:0.78783340,train accuracy:61.896172%,valid loss:0.77004669,valid accuracy:63.959036%
epoch:3340/50000,train loss:0.78783672,train accuracy:61.895868%,valid loss:0.77004321,valid accuracy:63.958569%
epoch:3341/50000,train loss:0.78785500,train accuracy:61.894335%,valid loss:0.77005240,valid accuracy:63.956209%
epoch:3342/50000,train loss:0.78787394,train accuracy:61.892824%,valid loss:0.77005322,valid accuracy:63.955697%
epoch:3343/50000,train loss:0.78786836,train accuracy:61.893331%,valid loss:0.77006408,valid accuracy:63.955020%
epoch:3344/50000,train loss:0.78786420,train accuracy:61.893395%,valid loss:0.77006809,valid accuracy:63.953107%
epoch:3345/50000,train loss:0.78785832,train accuracy:61.894252%,valid loss:0.77006174,valid accuracy:63.953633%
epoch:3346/50000,train loss:0.78787374,train accuracy:61.892853%,valid loss:0.77006250,valid accuracy:63.953402%
epoch:3347/50000,train loss:0.78791116,train accuracy:61.891262%,valid loss:0.77006827,valid accuracy:63.952681%
epoch:3348/50000,train loss:0.78791209,train accuracy:61.890913%,valid loss:0.77005728,valid accuracy:63.952985%
epoch:3349/50000,train loss:0.78790424,train accuracy:61.891179%,valid loss:0.77005547,valid accuracy:63.952544%
epoch:3350/50000,train loss:0.78791279,train accuracy:61.890504%,valid loss:0.77004144,valid accuracy:63.953035%
epoch:3351/50000,train loss:0.78790687,train accuracy:61.891274%,valid loss:0.77003491,valid accuracy:63.952548%
loss is 0.770035, is decreasing!! save moddel
epoch:3352/50000,train loss:0.78790163,train accuracy:61.891998%,valid loss:0.77002725,valid accuracy:63.952539%
loss is 0.770027, is decreasing!! save moddel
epoch:3353/50000,train loss:0.78789741,train accuracy:61.891662%,valid loss:0.77002419,valid accuracy:63.952110%
loss is 0.770024, is decreasing!! save moddel
epoch:3354/50000,train loss:0.78788726,train accuracy:61.892414%,valid loss:0.77002163,valid accuracy:63.951692%
loss is 0.770022, is decreasing!! save moddel
epoch:3355/50000,train loss:0.78787595,train accuracy:61.892639%,valid loss:0.77000850,valid accuracy:63.952218%
loss is 0.770008, is decreasing!! save moddel
epoch:3356/50000,train loss:0.78787129,train accuracy:61.892290%,valid loss:0.76999749,valid accuracy:63.953418%
loss is 0.769997, is decreasing!! save moddel
epoch:3357/50000,train loss:0.78787258,train accuracy:61.892675%,valid loss:0.77000935,valid accuracy:63.951479%
epoch:3358/50000,train loss:0.78787462,train accuracy:61.892327%,valid loss:0.77001791,valid accuracy:63.950086%
epoch:3359/50000,train loss:0.78787023,train accuracy:61.892321%,valid loss:0.77000250,valid accuracy:63.952471%
epoch:3360/50000,train loss:0.78786581,train accuracy:61.892965%,valid loss:0.76998873,valid accuracy:63.952496%
loss is 0.769989, is decreasing!! save moddel
epoch:3361/50000,train loss:0.78785784,train accuracy:61.893405%,valid loss:0.76997254,valid accuracy:63.952708%
loss is 0.769973, is decreasing!! save moddel
epoch:3362/50000,train loss:0.78784646,train accuracy:61.893344%,valid loss:0.76996421,valid accuracy:63.952512%
loss is 0.769964, is decreasing!! save moddel
epoch:3363/50000,train loss:0.78783048,train accuracy:61.894529%,valid loss:0.76994569,valid accuracy:63.954673%
loss is 0.769946, is decreasing!! save moddel
epoch:3364/50000,train loss:0.78781762,train accuracy:61.896217%,valid loss:0.76992805,valid accuracy:63.956589%
loss is 0.769928, is decreasing!! save moddel
epoch:3365/50000,train loss:0.78781753,train accuracy:61.896337%,valid loss:0.76991480,valid accuracy:63.956567%
loss is 0.769915, is decreasing!! save moddel
epoch:3366/50000,train loss:0.78780559,train accuracy:61.896646%,valid loss:0.76990154,valid accuracy:63.956580%
loss is 0.769902, is decreasing!! save moddel
epoch:3367/50000,train loss:0.78780424,train accuracy:61.896527%,valid loss:0.76988295,valid accuracy:63.959455%
loss is 0.769883, is decreasing!! save moddel
epoch:3368/50000,train loss:0.78778829,train accuracy:61.897906%,valid loss:0.76989070,valid accuracy:63.955422%
epoch:3369/50000,train loss:0.78777874,train accuracy:61.898223%,valid loss:0.76987457,valid accuracy:63.956548%
loss is 0.769875, is decreasing!! save moddel
epoch:3370/50000,train loss:0.78776051,train accuracy:61.899218%,valid loss:0.76986150,valid accuracy:63.956318%
loss is 0.769861, is decreasing!! save moddel
epoch:3371/50000,train loss:0.78777329,train accuracy:61.898675%,valid loss:0.76984113,valid accuracy:63.957489%
loss is 0.769841, is decreasing!! save moddel
epoch:3372/50000,train loss:0.78777444,train accuracy:61.898738%,valid loss:0.76982136,valid accuracy:63.960603%
loss is 0.769821, is decreasing!! save moddel
epoch:3373/50000,train loss:0.78775902,train accuracy:61.899718%,valid loss:0.76981118,valid accuracy:63.960648%
loss is 0.769811, is decreasing!! save moddel
epoch:3374/50000,train loss:0.78774029,train accuracy:61.900602%,valid loss:0.76979397,valid accuracy:63.960902%
loss is 0.769794, is decreasing!! save moddel
epoch:3375/50000,train loss:0.78772436,train accuracy:61.901209%,valid loss:0.76977306,valid accuracy:63.963448%
loss is 0.769773, is decreasing!! save moddel
epoch:3376/50000,train loss:0.78770856,train accuracy:61.902002%,valid loss:0.76975328,valid accuracy:63.966268%
loss is 0.769753, is decreasing!! save moddel
epoch:3377/50000,train loss:0.78771595,train accuracy:61.900828%,valid loss:0.76973834,valid accuracy:63.967457%
loss is 0.769738, is decreasing!! save moddel
epoch:3378/50000,train loss:0.78771132,train accuracy:61.901065%,valid loss:0.76972165,valid accuracy:63.967754%
loss is 0.769722, is decreasing!! save moddel
epoch:3379/50000,train loss:0.78770056,train accuracy:61.901132%,valid loss:0.76970947,valid accuracy:63.968919%
loss is 0.769709, is decreasing!! save moddel
epoch:3380/50000,train loss:0.78768544,train accuracy:61.901962%,valid loss:0.76969332,valid accuracy:63.970613%
loss is 0.769693, is decreasing!! save moddel
epoch:3381/50000,train loss:0.78769844,train accuracy:61.901083%,valid loss:0.76967739,valid accuracy:63.972307%
loss is 0.769677, is decreasing!! save moddel
epoch:3382/50000,train loss:0.78769588,train accuracy:61.901211%,valid loss:0.76968904,valid accuracy:63.971807%
epoch:3383/50000,train loss:0.78768563,train accuracy:61.901341%,valid loss:0.76967604,valid accuracy:63.971872%
loss is 0.769676, is decreasing!! save moddel
epoch:3384/50000,train loss:0.78767106,train accuracy:61.901754%,valid loss:0.76965824,valid accuracy:63.974532%
loss is 0.769658, is decreasing!! save moddel
epoch:3385/50000,train loss:0.78766792,train accuracy:61.902252%,valid loss:0.76965078,valid accuracy:63.974331%
loss is 0.769651, is decreasing!! save moddel
epoch:3386/50000,train loss:0.78765710,train accuracy:61.903343%,valid loss:0.76963457,valid accuracy:63.975064%
loss is 0.769635, is decreasing!! save moddel
epoch:3387/50000,train loss:0.78765902,train accuracy:61.902680%,valid loss:0.76962059,valid accuracy:63.978137%
loss is 0.769621, is decreasing!! save moddel
epoch:3388/50000,train loss:0.78764698,train accuracy:61.903478%,valid loss:0.76962818,valid accuracy:63.977670%
epoch:3389/50000,train loss:0.78764422,train accuracy:61.903398%,valid loss:0.76961342,valid accuracy:63.979577%
loss is 0.769613, is decreasing!! save moddel
epoch:3390/50000,train loss:0.78763325,train accuracy:61.904354%,valid loss:0.76960053,valid accuracy:63.979560%
loss is 0.769601, is decreasing!! save moddel
epoch:3391/50000,train loss:0.78763250,train accuracy:61.903700%,valid loss:0.76959546,valid accuracy:63.979830%
loss is 0.769595, is decreasing!! save moddel
epoch:3392/50000,train loss:0.78762793,train accuracy:61.903291%,valid loss:0.76958569,valid accuracy:63.980307%
loss is 0.769586, is decreasing!! save moddel
epoch:3393/50000,train loss:0.78761969,train accuracy:61.903773%,valid loss:0.76958022,valid accuracy:63.980116%
loss is 0.769580, is decreasing!! save moddel
epoch:3394/50000,train loss:0.78760592,train accuracy:61.904722%,valid loss:0.76957398,valid accuracy:63.979858%
loss is 0.769574, is decreasing!! save moddel
epoch:3395/50000,train loss:0.78762216,train accuracy:61.904052%,valid loss:0.76955687,valid accuracy:63.981519%
loss is 0.769557, is decreasing!! save moddel
epoch:3396/50000,train loss:0.78761413,train accuracy:61.904187%,valid loss:0.76954765,valid accuracy:63.981731%
loss is 0.769548, is decreasing!! save moddel
epoch:3397/50000,train loss:0.78760344,train accuracy:61.905311%,valid loss:0.76953264,valid accuracy:63.984597%
loss is 0.769533, is decreasing!! save moddel
epoch:3398/50000,train loss:0.78760072,train accuracy:61.905169%,valid loss:0.76952494,valid accuracy:63.984601%
loss is 0.769525, is decreasing!! save moddel
epoch:3399/50000,train loss:0.78759495,train accuracy:61.905974%,valid loss:0.76952882,valid accuracy:63.984157%
epoch:3400/50000,train loss:0.78758809,train accuracy:61.906821%,valid loss:0.76951525,valid accuracy:63.985562%
loss is 0.769515, is decreasing!! save moddel
epoch:3401/50000,train loss:0.78758224,train accuracy:61.906709%,valid loss:0.76949855,valid accuracy:63.987022%
loss is 0.769499, is decreasing!! save moddel
epoch:3402/50000,train loss:0.78756982,train accuracy:61.907670%,valid loss:0.76948300,valid accuracy:63.987474%
loss is 0.769483, is decreasing!! save moddel
epoch:3403/50000,train loss:0.78755907,train accuracy:61.908316%,valid loss:0.76947191,valid accuracy:63.988188%
loss is 0.769472, is decreasing!! save moddel
epoch:3404/50000,train loss:0.78755277,train accuracy:61.908382%,valid loss:0.76946186,valid accuracy:63.988672%
loss is 0.769462, is decreasing!! save moddel
epoch:3405/50000,train loss:0.78755523,train accuracy:61.908179%,valid loss:0.76945204,valid accuracy:63.988491%
loss is 0.769452, is decreasing!! save moddel
epoch:3406/50000,train loss:0.78754607,train accuracy:61.908540%,valid loss:0.76944148,valid accuracy:63.988734%
loss is 0.769441, is decreasing!! save moddel
epoch:3407/50000,train loss:0.78754844,train accuracy:61.907956%,valid loss:0.76944160,valid accuracy:63.987121%
epoch:3408/50000,train loss:0.78756960,train accuracy:61.906152%,valid loss:0.76945932,valid accuracy:63.986689%
epoch:3409/50000,train loss:0.78757305,train accuracy:61.905823%,valid loss:0.76945626,valid accuracy:63.986245%
epoch:3410/50000,train loss:0.78756756,train accuracy:61.906087%,valid loss:0.76944534,valid accuracy:63.986238%
epoch:3411/50000,train loss:0.78758536,train accuracy:61.904696%,valid loss:0.76943648,valid accuracy:63.985817%
loss is 0.769436, is decreasing!! save moddel
epoch:3412/50000,train loss:0.78757791,train accuracy:61.905106%,valid loss:0.76942975,valid accuracy:63.986781%
loss is 0.769430, is decreasing!! save moddel
epoch:3413/50000,train loss:0.78757300,train accuracy:61.905881%,valid loss:0.76942353,valid accuracy:63.987539%
loss is 0.769424, is decreasing!! save moddel
epoch:3414/50000,train loss:0.78757088,train accuracy:61.905687%,valid loss:0.76941552,valid accuracy:63.988022%
loss is 0.769416, is decreasing!! save moddel
epoch:3415/50000,train loss:0.78757734,train accuracy:61.905039%,valid loss:0.76942399,valid accuracy:63.988014%
epoch:3416/50000,train loss:0.78758545,train accuracy:61.904868%,valid loss:0.76942188,valid accuracy:63.987114%
epoch:3417/50000,train loss:0.78760850,train accuracy:61.904034%,valid loss:0.76941636,valid accuracy:63.986192%
epoch:3418/50000,train loss:0.78760498,train accuracy:61.903459%,valid loss:0.76941048,valid accuracy:63.985431%
loss is 0.769410, is decreasing!! save moddel
epoch:3419/50000,train loss:0.78761198,train accuracy:61.902522%,valid loss:0.76940546,valid accuracy:63.984955%
loss is 0.769405, is decreasing!! save moddel
epoch:3420/50000,train loss:0.78763028,train accuracy:61.900038%,valid loss:0.76940677,valid accuracy:63.984503%
epoch:3421/50000,train loss:0.78765801,train accuracy:61.898464%,valid loss:0.76942557,valid accuracy:63.984484%
epoch:3422/50000,train loss:0.78765954,train accuracy:61.897938%,valid loss:0.76942099,valid accuracy:63.984728%
epoch:3423/50000,train loss:0.78767568,train accuracy:61.896302%,valid loss:0.76941449,valid accuracy:63.984287%
epoch:3424/50000,train loss:0.78767883,train accuracy:61.896470%,valid loss:0.76941638,valid accuracy:63.983857%
epoch:3425/50000,train loss:0.78770181,train accuracy:61.895003%,valid loss:0.76941015,valid accuracy:63.982676%
epoch:3426/50000,train loss:0.78769560,train accuracy:61.895127%,valid loss:0.76940298,valid accuracy:63.982681%
loss is 0.769403, is decreasing!! save moddel
epoch:3427/50000,train loss:0.78769834,train accuracy:61.894694%,valid loss:0.76939430,valid accuracy:63.982402%
loss is 0.769394, is decreasing!! save moddel
epoch:3428/50000,train loss:0.78769902,train accuracy:61.894550%,valid loss:0.76941446,valid accuracy:63.981461%
epoch:3429/50000,train loss:0.78769379,train accuracy:61.894496%,valid loss:0.76940482,valid accuracy:63.981295%
epoch:3430/50000,train loss:0.78769190,train accuracy:61.894519%,valid loss:0.76939533,valid accuracy:63.981288%
epoch:3431/50000,train loss:0.78770965,train accuracy:61.893572%,valid loss:0.76938740,valid accuracy:63.981305%
loss is 0.769387, is decreasing!! save moddel
epoch:3432/50000,train loss:0.78771853,train accuracy:61.893504%,valid loss:0.76937764,valid accuracy:63.981071%
loss is 0.769378, is decreasing!! save moddel
epoch:3433/50000,train loss:0.78770956,train accuracy:61.894118%,valid loss:0.76936668,valid accuracy:63.980826%
loss is 0.769367, is decreasing!! save moddel
epoch:3434/50000,train loss:0.78770484,train accuracy:61.894444%,valid loss:0.76936114,valid accuracy:63.980581%
loss is 0.769361, is decreasing!! save moddel
epoch:3435/50000,train loss:0.78771594,train accuracy:61.893377%,valid loss:0.76935325,valid accuracy:63.980609%
loss is 0.769353, is decreasing!! save moddel
epoch:3436/50000,train loss:0.78770831,train accuracy:61.893520%,valid loss:0.76933980,valid accuracy:63.980353%
loss is 0.769340, is decreasing!! save moddel
epoch:3437/50000,train loss:0.78769990,train accuracy:61.894095%,valid loss:0.76934120,valid accuracy:63.980336%
epoch:3438/50000,train loss:0.78769098,train accuracy:61.894699%,valid loss:0.76933146,valid accuracy:63.981500%
loss is 0.769331, is decreasing!! save moddel
epoch:3439/50000,train loss:0.78769401,train accuracy:61.893837%,valid loss:0.76931966,valid accuracy:63.981073%
loss is 0.769320, is decreasing!! save moddel
epoch:3440/50000,train loss:0.78771831,train accuracy:61.891800%,valid loss:0.76931100,valid accuracy:63.979965%
loss is 0.769311, is decreasing!! save moddel
epoch:3441/50000,train loss:0.78770978,train accuracy:61.892595%,valid loss:0.76930861,valid accuracy:63.979732%
loss is 0.769309, is decreasing!! save moddel
epoch:3442/50000,train loss:0.78772224,train accuracy:61.890986%,valid loss:0.76930269,valid accuracy:63.979488%
loss is 0.769303, is decreasing!! save moddel
epoch:3443/50000,train loss:0.78773069,train accuracy:61.890878%,valid loss:0.76929745,valid accuracy:63.979460%
loss is 0.769297, is decreasing!! save moddel
epoch:3444/50000,train loss:0.78772552,train accuracy:61.890896%,valid loss:0.76929417,valid accuracy:63.979444%
loss is 0.769294, is decreasing!! save moddel
epoch:3445/50000,train loss:0.78772488,train accuracy:61.891032%,valid loss:0.76928495,valid accuracy:63.979267%
loss is 0.769285, is decreasing!! save moddel
epoch:3446/50000,train loss:0.78772769,train accuracy:61.890850%,valid loss:0.76927267,valid accuracy:63.979261%
loss is 0.769273, is decreasing!! save moddel
epoch:3447/50000,train loss:0.78773248,train accuracy:61.889772%,valid loss:0.76926430,valid accuracy:63.979040%
loss is 0.769264, is decreasing!! save moddel
epoch:3448/50000,train loss:0.78773167,train accuracy:61.889879%,valid loss:0.76926402,valid accuracy:63.978786%
loss is 0.769264, is decreasing!! save moddel
epoch:3449/50000,train loss:0.78773242,train accuracy:61.889360%,valid loss:0.76925219,valid accuracy:63.980659%
loss is 0.769252, is decreasing!! save moddel
epoch:3450/50000,train loss:0.78772906,train accuracy:61.890439%,valid loss:0.76925022,valid accuracy:63.980178%
loss is 0.769250, is decreasing!! save moddel
epoch:3451/50000,train loss:0.78773302,train accuracy:61.889805%,valid loss:0.76923772,valid accuracy:63.980907%
loss is 0.769238, is decreasing!! save moddel
epoch:3452/50000,train loss:0.78776893,train accuracy:61.886631%,valid loss:0.76922769,valid accuracy:63.980448%
loss is 0.769228, is decreasing!! save moddel
epoch:3453/50000,train loss:0.78777006,train accuracy:61.886769%,valid loss:0.76922086,valid accuracy:63.980487%
loss is 0.769221, is decreasing!! save moddel
epoch:3454/50000,train loss:0.78778722,train accuracy:61.885823%,valid loss:0.76921084,valid accuracy:63.980199%
loss is 0.769211, is decreasing!! save moddel
epoch:3455/50000,train loss:0.78778932,train accuracy:61.885170%,valid loss:0.76920330,valid accuracy:63.980227%
loss is 0.769203, is decreasing!! save moddel
epoch:3456/50000,train loss:0.78778356,train accuracy:61.885082%,valid loss:0.76919277,valid accuracy:63.980232%
loss is 0.769193, is decreasing!! save moddel
epoch:3457/50000,train loss:0.78778512,train accuracy:61.884589%,valid loss:0.76918691,valid accuracy:63.980982%
loss is 0.769187, is decreasing!! save moddel
epoch:3458/50000,train loss:0.78778987,train accuracy:61.883973%,valid loss:0.76917773,valid accuracy:63.980998%
loss is 0.769178, is decreasing!! save moddel
epoch:3459/50000,train loss:0.78779106,train accuracy:61.884164%,valid loss:0.76918491,valid accuracy:63.980562%
epoch:3460/50000,train loss:0.78778694,train accuracy:61.884566%,valid loss:0.76917670,valid accuracy:63.980501%
loss is 0.769177, is decreasing!! save moddel
epoch:3461/50000,train loss:0.78778451,train accuracy:61.884540%,valid loss:0.76917261,valid accuracy:63.980280%
loss is 0.769173, is decreasing!! save moddel
epoch:3462/50000,train loss:0.78778668,train accuracy:61.884400%,valid loss:0.76916299,valid accuracy:63.981662%
loss is 0.769163, is decreasing!! save moddel
epoch:3463/50000,train loss:0.78778018,train accuracy:61.884426%,valid loss:0.76915094,valid accuracy:63.982591%
loss is 0.769151, is decreasing!! save moddel
epoch:3464/50000,train loss:0.78777225,train accuracy:61.884715%,valid loss:0.76913855,valid accuracy:63.983497%
loss is 0.769139, is decreasing!! save moddel
epoch:3465/50000,train loss:0.78777233,train accuracy:61.884206%,valid loss:0.76912995,valid accuracy:63.985404%
loss is 0.769130, is decreasing!! save moddel
epoch:3466/50000,train loss:0.78776289,train accuracy:61.885230%,valid loss:0.76912114,valid accuracy:63.985419%
loss is 0.769121, is decreasing!! save moddel
epoch:3467/50000,train loss:0.78776328,train accuracy:61.885616%,valid loss:0.76910891,valid accuracy:63.987934%
loss is 0.769109, is decreasing!! save moddel
epoch:3468/50000,train loss:0.78775740,train accuracy:61.886423%,valid loss:0.76910791,valid accuracy:63.987195%
loss is 0.769108, is decreasing!! save moddel
epoch:3469/50000,train loss:0.78777650,train accuracy:61.884712%,valid loss:0.76910639,valid accuracy:63.986748%
loss is 0.769106, is decreasing!! save moddel
epoch:3470/50000,train loss:0.78777970,train accuracy:61.884446%,valid loss:0.76910188,valid accuracy:63.986471%
loss is 0.769102, is decreasing!! save moddel
epoch:3471/50000,train loss:0.78777748,train accuracy:61.884666%,valid loss:0.76910345,valid accuracy:63.986239%
epoch:3472/50000,train loss:0.78776969,train accuracy:61.884760%,valid loss:0.76909242,valid accuracy:63.986500%
loss is 0.769092, is decreasing!! save moddel
epoch:3473/50000,train loss:0.78777123,train accuracy:61.883933%,valid loss:0.76908705,valid accuracy:63.986470%
loss is 0.769087, is decreasing!! save moddel
epoch:3474/50000,train loss:0.78776625,train accuracy:61.883944%,valid loss:0.76907808,valid accuracy:63.987878%
loss is 0.769078, is decreasing!! save moddel
epoch:3475/50000,train loss:0.78776498,train accuracy:61.884418%,valid loss:0.76907300,valid accuracy:63.987645%
loss is 0.769073, is decreasing!! save moddel
epoch:3476/50000,train loss:0.78779054,train accuracy:61.882571%,valid loss:0.76906429,valid accuracy:63.987243%
loss is 0.769064, is decreasing!! save moddel
epoch:3477/50000,train loss:0.78779589,train accuracy:61.880958%,valid loss:0.76906217,valid accuracy:63.986830%
loss is 0.769062, is decreasing!! save moddel
epoch:3478/50000,train loss:0.78779271,train accuracy:61.881248%,valid loss:0.76905606,valid accuracy:63.987820%
loss is 0.769056, is decreasing!! save moddel
epoch:3479/50000,train loss:0.78779398,train accuracy:61.881431%,valid loss:0.76904739,valid accuracy:63.987812%
loss is 0.769047, is decreasing!! save moddel
epoch:3480/50000,train loss:0.78778986,train accuracy:61.881630%,valid loss:0.76904355,valid accuracy:63.988007%
loss is 0.769044, is decreasing!! save moddel
epoch:3481/50000,train loss:0.78779285,train accuracy:61.881664%,valid loss:0.76904584,valid accuracy:63.986675%
epoch:3482/50000,train loss:0.78780688,train accuracy:61.880262%,valid loss:0.76904703,valid accuracy:63.986262%
epoch:3483/50000,train loss:0.78783381,train accuracy:61.878399%,valid loss:0.76904188,valid accuracy:63.985292%
loss is 0.769042, is decreasing!! save moddel
epoch:3484/50000,train loss:0.78783124,train accuracy:61.878783%,valid loss:0.76903667,valid accuracy:63.986652%
loss is 0.769037, is decreasing!! save moddel
epoch:3485/50000,train loss:0.78783288,train accuracy:61.878804%,valid loss:0.76903432,valid accuracy:63.986442%
loss is 0.769034, is decreasing!! save moddel
epoch:3486/50000,train loss:0.78785167,train accuracy:61.876180%,valid loss:0.76903622,valid accuracy:63.985718%
epoch:3487/50000,train loss:0.78786892,train accuracy:61.874872%,valid loss:0.76902949,valid accuracy:63.985733%
loss is 0.769029, is decreasing!! save moddel
epoch:3488/50000,train loss:0.78789294,train accuracy:61.872760%,valid loss:0.76902362,valid accuracy:63.985524%
loss is 0.769024, is decreasing!! save moddel
epoch:3489/50000,train loss:0.78789507,train accuracy:61.872560%,valid loss:0.76901628,valid accuracy:63.986680%
loss is 0.769016, is decreasing!! save moddel
epoch:3490/50000,train loss:0.78789479,train accuracy:61.872641%,valid loss:0.76900841,valid accuracy:63.986481%
loss is 0.769008, is decreasing!! save moddel
epoch:3491/50000,train loss:0.78789403,train accuracy:61.872343%,valid loss:0.76902437,valid accuracy:63.984853%
epoch:3492/50000,train loss:0.78789490,train accuracy:61.871605%,valid loss:0.76901503,valid accuracy:63.986499%
epoch:3493/50000,train loss:0.78789247,train accuracy:61.870942%,valid loss:0.76900566,valid accuracy:63.987664%
loss is 0.769006, is decreasing!! save moddel
epoch:3494/50000,train loss:0.78789320,train accuracy:61.871223%,valid loss:0.76900368,valid accuracy:63.987679%
loss is 0.769004, is decreasing!! save moddel
epoch:3495/50000,train loss:0.78788579,train accuracy:61.871563%,valid loss:0.76899343,valid accuracy:63.990173%
loss is 0.768993, is decreasing!! save moddel
epoch:3496/50000,train loss:0.78790882,train accuracy:61.870007%,valid loss:0.76902594,valid accuracy:63.987875%
epoch:3497/50000,train loss:0.78791069,train accuracy:61.870236%,valid loss:0.76902326,valid accuracy:63.987153%
epoch:3498/50000,train loss:0.78791418,train accuracy:61.869806%,valid loss:0.76906277,valid accuracy:63.984411%
epoch:3499/50000,train loss:0.78793416,train accuracy:61.868554%,valid loss:0.76905436,valid accuracy:63.985107%
epoch:3500/50000,train loss:0.78792566,train accuracy:61.868735%,valid loss:0.76904278,valid accuracy:63.987430%
epoch:3501/50000,train loss:0.78791767,train accuracy:61.869123%,valid loss:0.76903299,valid accuracy:63.987422%
epoch:3502/50000,train loss:0.78792436,train accuracy:61.868432%,valid loss:0.76902270,valid accuracy:63.989264%
epoch:3503/50000,train loss:0.78792675,train accuracy:61.868724%,valid loss:0.76901320,valid accuracy:63.991317%
epoch:3504/50000,train loss:0.78792184,train accuracy:61.869386%,valid loss:0.76901017,valid accuracy:63.991064%
epoch:3505/50000,train loss:0.78792067,train accuracy:61.869415%,valid loss:0.76900442,valid accuracy:63.991055%
epoch:3506/50000,train loss:0.78792910,train accuracy:61.868457%,valid loss:0.76900238,valid accuracy:63.991046%
epoch:3507/50000,train loss:0.78793824,train accuracy:61.868042%,valid loss:0.76899465,valid accuracy:63.991716%
epoch:3508/50000,train loss:0.78794189,train accuracy:61.867820%,valid loss:0.76898613,valid accuracy:63.992185%
loss is 0.768986, is decreasing!! save moddel
epoch:3509/50000,train loss:0.78797703,train accuracy:61.865097%,valid loss:0.76899237,valid accuracy:63.991921%
epoch:3510/50000,train loss:0.78802848,train accuracy:61.861430%,valid loss:0.76903277,valid accuracy:63.990321%
epoch:3511/50000,train loss:0.78802491,train accuracy:61.861017%,valid loss:0.76902732,valid accuracy:63.990112%
epoch:3512/50000,train loss:0.78802348,train accuracy:61.860982%,valid loss:0.76902673,valid accuracy:63.989404%
epoch:3513/50000,train loss:0.78801313,train accuracy:61.861510%,valid loss:0.76901588,valid accuracy:63.991750%
epoch:3514/50000,train loss:0.78802835,train accuracy:61.860344%,valid loss:0.76901666,valid accuracy:63.991074%
epoch:3515/50000,train loss:0.78803821,train accuracy:61.859471%,valid loss:0.76900990,valid accuracy:63.990876%
epoch:3516/50000,train loss:0.78803700,train accuracy:61.858879%,valid loss:0.76900552,valid accuracy:63.990943%
epoch:3517/50000,train loss:0.78803749,train accuracy:61.858915%,valid loss:0.76901195,valid accuracy:63.990192%
epoch:3518/50000,train loss:0.78803697,train accuracy:61.858288%,valid loss:0.76900437,valid accuracy:63.991792%
epoch:3519/50000,train loss:0.78803091,train accuracy:61.858381%,valid loss:0.76900179,valid accuracy:63.991739%
epoch:3520/50000,train loss:0.78802426,train accuracy:61.858556%,valid loss:0.76899820,valid accuracy:63.991243%
epoch:3521/50000,train loss:0.78804760,train accuracy:61.857109%,valid loss:0.76900136,valid accuracy:63.991023%
epoch:3522/50000,train loss:0.78804980,train accuracy:61.857263%,valid loss:0.76900822,valid accuracy:63.990814%
epoch:3523/50000,train loss:0.78805416,train accuracy:61.857399%,valid loss:0.76900838,valid accuracy:63.990871%
epoch:3524/50000,train loss:0.78805355,train accuracy:61.857316%,valid loss:0.76900431,valid accuracy:63.991527%
epoch:3525/50000,train loss:0.78806403,train accuracy:61.857017%,valid loss:0.76900203,valid accuracy:63.992194%
epoch:3526/50000,train loss:0.78807562,train accuracy:61.856427%,valid loss:0.76903611,valid accuracy:63.990347%
epoch:3527/50000,train loss:0.78808177,train accuracy:61.855302%,valid loss:0.76903077,valid accuracy:63.991268%
epoch:3528/50000,train loss:0.78810791,train accuracy:61.853578%,valid loss:0.76903046,valid accuracy:63.989677%
epoch:3529/50000,train loss:0.78810951,train accuracy:61.852956%,valid loss:0.76902975,valid accuracy:63.990332%
epoch:3530/50000,train loss:0.78811574,train accuracy:61.852476%,valid loss:0.76903931,valid accuracy:63.989207%
epoch:3531/50000,train loss:0.78813357,train accuracy:61.851366%,valid loss:0.76903924,valid accuracy:63.989043%
epoch:3532/50000,train loss:0.78813746,train accuracy:61.851871%,valid loss:0.76904976,valid accuracy:63.987233%
epoch:3533/50000,train loss:0.78820039,train accuracy:61.848962%,valid loss:0.76907147,valid accuracy:63.986297%
epoch:3534/50000,train loss:0.78822773,train accuracy:61.847941%,valid loss:0.76907259,valid accuracy:63.984257%
epoch:3535/50000,train loss:0.78824348,train accuracy:61.846161%,valid loss:0.76915387,valid accuracy:63.980154%
epoch:3536/50000,train loss:0.78827538,train accuracy:61.843428%,valid loss:0.76915404,valid accuracy:63.979496%
epoch:3537/50000,train loss:0.78828148,train accuracy:61.843084%,valid loss:0.76916719,valid accuracy:63.978376%
epoch:3538/50000,train loss:0.78828023,train accuracy:61.843462%,valid loss:0.76916708,valid accuracy:63.978635%
epoch:3539/50000,train loss:0.78831037,train accuracy:61.841919%,valid loss:0.76917803,valid accuracy:63.977316%
epoch:3540/50000,train loss:0.78832782,train accuracy:61.841316%,valid loss:0.76918381,valid accuracy:63.976375%
epoch:3541/50000,train loss:0.78832861,train accuracy:61.841905%,valid loss:0.76918220,valid accuracy:63.976182%
epoch:3542/50000,train loss:0.78839209,train accuracy:61.838230%,valid loss:0.76918768,valid accuracy:63.973763%
epoch:3543/50000,train loss:0.78839273,train accuracy:61.837768%,valid loss:0.76918899,valid accuracy:63.974001%
epoch:3544/50000,train loss:0.78841914,train accuracy:61.835994%,valid loss:0.76919581,valid accuracy:63.973314%
epoch:3545/50000,train loss:0.78842768,train accuracy:61.835051%,valid loss:0.76921796,valid accuracy:63.970161%
epoch:3546/50000,train loss:0.78844814,train accuracy:61.833366%,valid loss:0.76922449,valid accuracy:63.969025%
epoch:3547/50000,train loss:0.78846266,train accuracy:61.832527%,valid loss:0.76923177,valid accuracy:63.967954%
epoch:3548/50000,train loss:0.78849127,train accuracy:61.830301%,valid loss:0.76924499,valid accuracy:63.966114%
epoch:3549/50000,train loss:0.78850321,train accuracy:61.829579%,valid loss:0.76925812,valid accuracy:63.964320%
epoch:3550/50000,train loss:0.78852875,train accuracy:61.828066%,valid loss:0.76926389,valid accuracy:63.962757%
epoch:3551/50000,train loss:0.78852934,train accuracy:61.827573%,valid loss:0.76926646,valid accuracy:63.962085%
epoch:3552/50000,train loss:0.78852759,train accuracy:61.828388%,valid loss:0.76927308,valid accuracy:63.960733%
epoch:3553/50000,train loss:0.78855333,train accuracy:61.826473%,valid loss:0.76927845,valid accuracy:63.960755%
epoch:3554/50000,train loss:0.78857327,train accuracy:61.825484%,valid loss:0.76929250,valid accuracy:63.959029%
epoch:3555/50000,train loss:0.78862503,train accuracy:61.822230%,valid loss:0.76929839,valid accuracy:63.956580%
epoch:3556/50000,train loss:0.78863483,train accuracy:61.821160%,valid loss:0.76930502,valid accuracy:63.955022%
epoch:3557/50000,train loss:0.78864300,train accuracy:61.820573%,valid loss:0.76930721,valid accuracy:63.955671%
epoch:3558/50000,train loss:0.78868527,train accuracy:61.817369%,valid loss:0.76932514,valid accuracy:63.954103%
epoch:3559/50000,train loss:0.78868809,train accuracy:61.817025%,valid loss:0.76932601,valid accuracy:63.954137%
epoch:3560/50000,train loss:0.78868664,train accuracy:61.818070%,valid loss:0.76934510,valid accuracy:63.951420%
epoch:3561/50000,train loss:0.78869025,train accuracy:61.817718%,valid loss:0.76934824,valid accuracy:63.950053%
epoch:3562/50000,train loss:0.78870726,train accuracy:61.815738%,valid loss:0.76935454,valid accuracy:63.948718%
epoch:3563/50000,train loss:0.78875671,train accuracy:61.812743%,valid loss:0.76936171,valid accuracy:63.946278%
epoch:3564/50000,train loss:0.78878991,train accuracy:61.810846%,valid loss:0.76938440,valid accuracy:63.943609%
epoch:3565/50000,train loss:0.78880386,train accuracy:61.809806%,valid loss:0.76942385,valid accuracy:63.939210%
epoch:3566/50000,train loss:0.78880808,train accuracy:61.808984%,valid loss:0.76947187,valid accuracy:63.935866%
epoch:3567/50000,train loss:0.78882982,train accuracy:61.807965%,valid loss:0.76948309,valid accuracy:63.933838%
epoch:3568/50000,train loss:0.78886420,train accuracy:61.805610%,valid loss:0.76949103,valid accuracy:63.931591%
epoch:3569/50000,train loss:0.78887781,train accuracy:61.804273%,valid loss:0.76951612,valid accuracy:63.929608%
epoch:3570/50000,train loss:0.78892653,train accuracy:61.801344%,valid loss:0.76952092,valid accuracy:63.926938%
epoch:3571/50000,train loss:0.78893977,train accuracy:61.799977%,valid loss:0.76952366,valid accuracy:63.924727%
epoch:3572/50000,train loss:0.78894212,train accuracy:61.800157%,valid loss:0.76954034,valid accuracy:63.923153%
epoch:3573/50000,train loss:0.78897367,train accuracy:61.797453%,valid loss:0.76954399,valid accuracy:63.922923%
epoch:3574/50000,train loss:0.78897585,train accuracy:61.797211%,valid loss:0.76954566,valid accuracy:63.922278%
epoch:3575/50000,train loss:0.78897837,train accuracy:61.797347%,valid loss:0.76954622,valid accuracy:63.922081%
epoch:3576/50000,train loss:0.78897664,train accuracy:61.797716%,valid loss:0.76954744,valid accuracy:63.921884%
epoch:3577/50000,train loss:0.78897894,train accuracy:61.797727%,valid loss:0.76954827,valid accuracy:63.920824%
epoch:3578/50000,train loss:0.78899657,train accuracy:61.796482%,valid loss:0.76958480,valid accuracy:63.918599%
epoch:3579/50000,train loss:0.78900623,train accuracy:61.796111%,valid loss:0.76958724,valid accuracy:63.917902%
epoch:3580/50000,train loss:0.78900557,train accuracy:61.796110%,valid loss:0.76960449,valid accuracy:63.915668%
epoch:3581/50000,train loss:0.78903208,train accuracy:61.794748%,valid loss:0.76960561,valid accuracy:63.914164%
epoch:3582/50000,train loss:0.78907961,train accuracy:61.791676%,valid loss:0.76962114,valid accuracy:63.912182%
epoch:3583/50000,train loss:0.78908721,train accuracy:61.790849%,valid loss:0.76962789,valid accuracy:63.910627%
epoch:3584/50000,train loss:0.78910758,train accuracy:61.788763%,valid loss:0.76963578,valid accuracy:63.908854%
epoch:3585/50000,train loss:0.78912037,train accuracy:61.787934%,valid loss:0.76964224,valid accuracy:63.907301%
epoch:3586/50000,train loss:0.78911948,train accuracy:61.788116%,valid loss:0.76965464,valid accuracy:63.905552%
epoch:3587/50000,train loss:0.78913608,train accuracy:61.786595%,valid loss:0.76966290,valid accuracy:63.904021%
epoch:3588/50000,train loss:0.78915112,train accuracy:61.786032%,valid loss:0.76970112,valid accuracy:63.901403%
epoch:3589/50000,train loss:0.78915496,train accuracy:61.785366%,valid loss:0.76970037,valid accuracy:63.900735%
epoch:3590/50000,train loss:0.78916182,train accuracy:61.784377%,valid loss:0.76971505,valid accuracy:63.899196%
epoch:3591/50000,train loss:0.78922610,train accuracy:61.781235%,valid loss:0.76972404,valid accuracy:63.897659%
epoch:3592/50000,train loss:0.78922636,train accuracy:61.781542%,valid loss:0.76974860,valid accuracy:63.895655%
epoch:3593/50000,train loss:0.78925584,train accuracy:61.780061%,valid loss:0.76975006,valid accuracy:63.894596%
epoch:3594/50000,train loss:0.78924856,train accuracy:61.781403%,valid loss:0.76974574,valid accuracy:63.893247%
epoch:3595/50000,train loss:0.78924154,train accuracy:61.781899%,valid loss:0.76974445,valid accuracy:63.892190%
epoch:3596/50000,train loss:0.78924423,train accuracy:61.780992%,valid loss:0.76975852,valid accuracy:63.889755%
epoch:3597/50000,train loss:0.78924702,train accuracy:61.780589%,valid loss:0.76975096,valid accuracy:63.890686%
epoch:3598/50000,train loss:0.78925363,train accuracy:61.780339%,valid loss:0.76974985,valid accuracy:63.889392%
epoch:3599/50000,train loss:0.78924478,train accuracy:61.781247%,valid loss:0.76974388,valid accuracy:63.890323%
epoch:3600/50000,train loss:0.78923339,train accuracy:61.781706%,valid loss:0.76974081,valid accuracy:63.889247%
epoch:3601/50000,train loss:0.78923574,train accuracy:61.781484%,valid loss:0.76973608,valid accuracy:63.889224%
epoch:3602/50000,train loss:0.78922712,train accuracy:61.782048%,valid loss:0.76973147,valid accuracy:63.888376%
epoch:3603/50000,train loss:0.78921672,train accuracy:61.782846%,valid loss:0.76972304,valid accuracy:63.889512%
epoch:3604/50000,train loss:0.78920808,train accuracy:61.783286%,valid loss:0.76972320,valid accuracy:63.888188%
epoch:3605/50000,train loss:0.78921515,train accuracy:61.782495%,valid loss:0.76971523,valid accuracy:63.889096%
epoch:3606/50000,train loss:0.78920911,train accuracy:61.783496%,valid loss:0.76973578,valid accuracy:63.886723%
epoch:3607/50000,train loss:0.78920334,train accuracy:61.783851%,valid loss:0.76973163,valid accuracy:63.885855%
epoch:3608/50000,train loss:0.78919528,train accuracy:61.784147%,valid loss:0.76972825,valid accuracy:63.884772%
epoch:3609/50000,train loss:0.78918798,train accuracy:61.784983%,valid loss:0.76971929,valid accuracy:63.884545%
epoch:3610/50000,train loss:0.78918380,train accuracy:61.784825%,valid loss:0.76971122,valid accuracy:63.884197%
epoch:3611/50000,train loss:0.78917828,train accuracy:61.785295%,valid loss:0.76972238,valid accuracy:63.882239%
epoch:3612/50000,train loss:0.78917361,train accuracy:61.785535%,valid loss:0.76971937,valid accuracy:63.881364%
epoch:3613/50000,train loss:0.78917504,train accuracy:61.784888%,valid loss:0.76970839,valid accuracy:63.882704%
epoch:3614/50000,train loss:0.78916508,train accuracy:61.785322%,valid loss:0.76969668,valid accuracy:63.884238%
epoch:3615/50000,train loss:0.78915513,train accuracy:61.786318%,valid loss:0.76968465,valid accuracy:63.885825%
epoch:3616/50000,train loss:0.78914732,train accuracy:61.786470%,valid loss:0.76967459,valid accuracy:63.885197%
epoch:3617/50000,train loss:0.78919434,train accuracy:61.783319%,valid loss:0.76966968,valid accuracy:63.884602%
epoch:3618/50000,train loss:0.78923089,train accuracy:61.780909%,valid loss:0.76966895,valid accuracy:63.883048%
epoch:3619/50000,train loss:0.78925870,train accuracy:61.779449%,valid loss:0.76968198,valid accuracy:63.881343%
epoch:3620/50000,train loss:0.78926609,train accuracy:61.779313%,valid loss:0.76967917,valid accuracy:63.880533%
epoch:3621/50000,train loss:0.78926018,train accuracy:61.779775%,valid loss:0.76971624,valid accuracy:63.877903%
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epoch:6698/50000,train loss:0.79421847,train accuracy:61.155506%,valid loss:0.76954166,valid accuracy:63.266366%
epoch:6699/50000,train loss:0.79421144,train accuracy:61.155818%,valid loss:0.76953397,valid accuracy:63.266609%
epoch:6700/50000,train loss:0.79420375,train accuracy:61.156309%,valid loss:0.76953269,valid accuracy:63.266736%
epoch:6701/50000,train loss:0.79419304,train accuracy:61.156882%,valid loss:0.76953671,valid accuracy:63.266967%
epoch:6702/50000,train loss:0.79418613,train accuracy:61.156913%,valid loss:0.76952994,valid accuracy:63.267350%
epoch:6703/50000,train loss:0.79418134,train accuracy:61.157159%,valid loss:0.76952941,valid accuracy:63.267604%
epoch:6704/50000,train loss:0.79417112,train accuracy:61.157887%,valid loss:0.76952729,valid accuracy:63.267963%
epoch:6705/50000,train loss:0.79416257,train accuracy:61.157966%,valid loss:0.76952043,valid accuracy:63.269510%
epoch:6706/50000,train loss:0.79415061,train accuracy:61.158894%,valid loss:0.76952850,valid accuracy:63.269374%
epoch:6707/50000,train loss:0.79414214,train accuracy:61.159151%,valid loss:0.76952148,valid accuracy:63.269716%
epoch:6708/50000,train loss:0.79413154,train accuracy:61.160028%,valid loss:0.76952380,valid accuracy:63.269808%
epoch:6709/50000,train loss:0.79412403,train accuracy:61.160176%,valid loss:0.76952211,valid accuracy:63.270277%
epoch:6710/50000,train loss:0.79411204,train accuracy:61.161306%,valid loss:0.76951735,valid accuracy:63.270752%
epoch:6711/50000,train loss:0.79409971,train accuracy:61.162163%,valid loss:0.76951190,valid accuracy:63.271436%
epoch:6712/50000,train loss:0.79408746,train accuracy:61.162881%,valid loss:0.76950290,valid accuracy:63.271783%
epoch:6713/50000,train loss:0.79407832,train accuracy:61.163645%,valid loss:0.76949725,valid accuracy:63.272468%
epoch:6714/50000,train loss:0.79406612,train accuracy:61.164265%,valid loss:0.76948662,valid accuracy:63.273396%
epoch:6715/50000,train loss:0.79405409,train accuracy:61.164609%,valid loss:0.76947773,valid accuracy:63.273876%
epoch:6716/50000,train loss:0.79404004,train accuracy:61.165612%,valid loss:0.76947021,valid accuracy:63.274437%
epoch:6717/50000,train loss:0.79402517,train accuracy:61.166442%,valid loss:0.76945874,valid accuracy:63.275986%
epoch:6718/50000,train loss:0.79401268,train accuracy:61.167317%,valid loss:0.76945308,valid accuracy:63.276570%
epoch:6719/50000,train loss:0.79399913,train accuracy:61.168138%,valid loss:0.76944399,valid accuracy:63.276899%
epoch:6720/50000,train loss:0.79398478,train accuracy:61.169226%,valid loss:0.76943536,valid accuracy:63.277233%
epoch:6721/50000,train loss:0.79396979,train accuracy:61.170177%,valid loss:0.76942326,valid accuracy:63.278188%
epoch:6722/50000,train loss:0.79395638,train accuracy:61.170994%,valid loss:0.76941256,valid accuracy:63.278888%
epoch:6723/50000,train loss:0.79394465,train accuracy:61.171616%,valid loss:0.76940209,valid accuracy:63.279709%
epoch:6724/50000,train loss:0.79393028,train accuracy:61.172185%,valid loss:0.76939322,valid accuracy:63.280524%
epoch:6725/50000,train loss:0.79391431,train accuracy:61.173105%,valid loss:0.76938248,valid accuracy:63.280852%
epoch:6726/50000,train loss:0.79390152,train accuracy:61.173704%,valid loss:0.76937126,valid accuracy:63.281336%
epoch:6727/50000,train loss:0.79388882,train accuracy:61.174315%,valid loss:0.76936000,valid accuracy:63.283125%
epoch:6728/50000,train loss:0.79388301,train accuracy:61.174518%,valid loss:0.76934950,valid accuracy:63.283835%
epoch:6729/50000,train loss:0.79387105,train accuracy:61.175394%,valid loss:0.76934029,valid accuracy:63.284533%
epoch:6730/50000,train loss:0.79385878,train accuracy:61.176014%,valid loss:0.76933464,valid accuracy:63.284761%
epoch:6731/50000,train loss:0.79385097,train accuracy:61.176278%,valid loss:0.76932576,valid accuracy:63.286520%
epoch:6732/50000,train loss:0.79383751,train accuracy:61.177046%,valid loss:0.76932187,valid accuracy:63.286747%
epoch:6733/50000,train loss:0.79383351,train accuracy:61.176831%,valid loss:0.76931594,valid accuracy:63.286842%
epoch:6734/50000,train loss:0.79382222,train accuracy:61.177217%,valid loss:0.76930583,valid accuracy:63.287440%
epoch:6735/50000,train loss:0.79382244,train accuracy:61.176964%,valid loss:0.76930036,valid accuracy:63.287545%
epoch:6736/50000,train loss:0.79380929,train accuracy:61.177720%,valid loss:0.76929651,valid accuracy:63.287883%
epoch:6737/50000,train loss:0.79379569,train accuracy:61.178780%,valid loss:0.76928629,valid accuracy:63.289060%
epoch:6738/50000,train loss:0.79378495,train accuracy:61.179654%,valid loss:0.76927561,valid accuracy:63.289414%
epoch:6739/50000,train loss:0.79378024,train accuracy:61.179702%,valid loss:0.76926702,valid accuracy:63.290012%
epoch:6740/50000,train loss:0.79376751,train accuracy:61.180469%,valid loss:0.76925741,valid accuracy:63.291200%
epoch:6741/50000,train loss:0.79375615,train accuracy:61.180976%,valid loss:0.76924905,valid accuracy:63.291930%
epoch:6742/50000,train loss:0.79374913,train accuracy:61.181317%,valid loss:0.76924154,valid accuracy:63.292376%
epoch:6743/50000,train loss:0.79373800,train accuracy:61.182288%,valid loss:0.76924065,valid accuracy:63.291178%
epoch:6744/50000,train loss:0.79372673,train accuracy:61.183389%,valid loss:0.76923281,valid accuracy:63.292227%
epoch:6745/50000,train loss:0.79372098,train accuracy:61.183694%,valid loss:0.76922465,valid accuracy:63.293176%
epoch:6746/50000,train loss:0.79372024,train accuracy:61.183933%,valid loss:0.76922150,valid accuracy:63.293767%
epoch:6747/50000,train loss:0.79370647,train accuracy:61.184756%,valid loss:0.76921421,valid accuracy:63.294357%
epoch:6748/50000,train loss:0.79369600,train accuracy:61.185099%,valid loss:0.76920635,valid accuracy:63.295763%
epoch:6749/50000,train loss:0.79368214,train accuracy:61.185748%,valid loss:0.76919995,valid accuracy:63.296469%
epoch:6750/50000,train loss:0.79367642,train accuracy:61.186172%,valid loss:0.76919256,valid accuracy:63.297152%
epoch:6751/50000,train loss:0.79366850,train accuracy:61.186528%,valid loss:0.76918664,valid accuracy:63.297741%
epoch:6752/50000,train loss:0.79366567,train accuracy:61.186394%,valid loss:0.76917971,valid accuracy:63.298528%
epoch:6753/50000,train loss:0.79365536,train accuracy:61.187504%,valid loss:0.76917205,valid accuracy:63.299204%
epoch:6754/50000,train loss:0.79365562,train accuracy:61.187246%,valid loss:0.76918714,valid accuracy:63.298602%
epoch:6755/50000,train loss:0.79365186,train accuracy:61.187451%,valid loss:0.76917914,valid accuracy:63.299411%
epoch:6756/50000,train loss:0.79363919,train accuracy:61.188379%,valid loss:0.76917125,valid accuracy:63.300092%
epoch:6757/50000,train loss:0.79362974,train accuracy:61.188965%,valid loss:0.76917113,valid accuracy:63.300230%
epoch:6758/50000,train loss:0.79362302,train accuracy:61.189390%,valid loss:0.76916533,valid accuracy:63.300807%
epoch:6759/50000,train loss:0.79361480,train accuracy:61.189933%,valid loss:0.76915759,valid accuracy:63.301465%
epoch:6760/50000,train loss:0.79360220,train accuracy:61.190866%,valid loss:0.76914874,valid accuracy:63.302140%
epoch:6761/50000,train loss:0.79358916,train accuracy:61.191859%,valid loss:0.76914317,valid accuracy:63.301747%
epoch:6762/50000,train loss:0.79357874,train accuracy:61.192506%,valid loss:0.76913497,valid accuracy:63.302433%
epoch:6763/50000,train loss:0.79357893,train accuracy:61.192552%,valid loss:0.76913973,valid accuracy:63.302311%
epoch:6764/50000,train loss:0.79356814,train accuracy:61.193314%,valid loss:0.76913374,valid accuracy:63.302794%
epoch:6765/50000,train loss:0.79355653,train accuracy:61.194167%,valid loss:0.76912532,valid accuracy:63.303393%
epoch:6766/50000,train loss:0.79354848,train accuracy:61.194636%,valid loss:0.76911897,valid accuracy:63.304217%
epoch:6767/50000,train loss:0.79354400,train accuracy:61.194701%,valid loss:0.76911658,valid accuracy:63.304562%
epoch:6768/50000,train loss:0.79355565,train accuracy:61.193929%,valid loss:0.76911138,valid accuracy:63.304295%
epoch:6769/50000,train loss:0.79354378,train accuracy:61.194701%,valid loss:0.76910791,valid accuracy:63.304375%
epoch:6770/50000,train loss:0.79353464,train accuracy:61.195005%,valid loss:0.76910247,valid accuracy:63.304852%
epoch:6771/50000,train loss:0.79352840,train accuracy:61.195007%,valid loss:0.76910077,valid accuracy:63.305208%
epoch:6772/50000,train loss:0.79351678,train accuracy:61.195818%,valid loss:0.76909361,valid accuracy:63.306613%
epoch:6773/50000,train loss:0.79350897,train accuracy:61.196545%,valid loss:0.76908852,valid accuracy:63.306946%
epoch:6774/50000,train loss:0.79350241,train accuracy:61.196782%,valid loss:0.76908269,valid accuracy:63.307515%
epoch:6775/50000,train loss:0.79349133,train accuracy:61.197522%,valid loss:0.76907519,valid accuracy:63.308233%
epoch:6776/50000,train loss:0.79347952,train accuracy:61.198110%,valid loss:0.76906873,valid accuracy:63.309401%
epoch:6777/50000,train loss:0.79347064,train accuracy:61.198688%,valid loss:0.76906156,valid accuracy:63.310183%
epoch:6778/50000,train loss:0.79346843,train accuracy:61.198292%,valid loss:0.76905685,valid accuracy:63.310734%
epoch:6779/50000,train loss:0.79346473,train accuracy:61.198736%,valid loss:0.76905193,valid accuracy:63.311330%
epoch:6780/50000,train loss:0.79345486,train accuracy:61.199349%,valid loss:0.76905064,valid accuracy:63.311541%
epoch:6781/50000,train loss:0.79344291,train accuracy:61.200016%,valid loss:0.76904242,valid accuracy:63.312961%
epoch:6782/50000,train loss:0.79343323,train accuracy:61.200698%,valid loss:0.76903443,valid accuracy:63.313534%
epoch:6783/50000,train loss:0.79342060,train accuracy:61.201196%,valid loss:0.76902608,valid accuracy:63.313997%
epoch:6784/50000,train loss:0.79341651,train accuracy:61.201375%,valid loss:0.76901990,valid accuracy:63.314576%
epoch:6785/50000,train loss:0.79340846,train accuracy:61.201843%,valid loss:0.76901576,valid accuracy:63.315269%
epoch:6786/50000,train loss:0.79340002,train accuracy:61.202155%,valid loss:0.76901015,valid accuracy:63.315853%
epoch:6787/50000,train loss:0.79338932,train accuracy:61.203055%,valid loss:0.76900594,valid accuracy:63.316419%
epoch:6788/50000,train loss:0.79338215,train accuracy:61.203806%,valid loss:0.76900118,valid accuracy:63.316388%
epoch:6789/50000,train loss:0.79337238,train accuracy:61.204736%,valid loss:0.76899778,valid accuracy:63.316965%
epoch:6790/50000,train loss:0.79336746,train accuracy:61.204891%,valid loss:0.76899358,valid accuracy:63.317411%
epoch:6791/50000,train loss:0.79335894,train accuracy:61.205096%,valid loss:0.76898879,valid accuracy:63.317741%
epoch:6792/50000,train loss:0.79335003,train accuracy:61.205641%,valid loss:0.76898409,valid accuracy:63.317973%
loss is 0.768984, is decreasing!! save moddel
epoch:6793/50000,train loss:0.79334131,train accuracy:61.206084%,valid loss:0.76898334,valid accuracy:63.318326%
loss is 0.768983, is decreasing!! save moddel
epoch:6794/50000,train loss:0.79333495,train accuracy:61.206550%,valid loss:0.76897938,valid accuracy:63.319242%
loss is 0.768979, is decreasing!! save moddel
epoch:6795/50000,train loss:0.79332722,train accuracy:61.207030%,valid loss:0.76898412,valid accuracy:63.318992%
epoch:6796/50000,train loss:0.79332598,train accuracy:61.207135%,valid loss:0.76897981,valid accuracy:63.319942%
epoch:6797/50000,train loss:0.79332056,train accuracy:61.207210%,valid loss:0.76897505,valid accuracy:63.320754%
loss is 0.768975, is decreasing!! save moddel
epoch:6798/50000,train loss:0.79331459,train accuracy:61.207522%,valid loss:0.76897113,valid accuracy:63.321094%
loss is 0.768971, is decreasing!! save moddel
epoch:6799/50000,train loss:0.79330736,train accuracy:61.207769%,valid loss:0.76896794,valid accuracy:63.321544%
loss is 0.768968, is decreasing!! save moddel
epoch:6800/50000,train loss:0.79330018,train accuracy:61.208233%,valid loss:0.76896381,valid accuracy:63.321064%
loss is 0.768964, is decreasing!! save moddel
epoch:6801/50000,train loss:0.79329146,train accuracy:61.208843%,valid loss:0.76895744,valid accuracy:63.321416%
loss is 0.768957, is decreasing!! save moddel
epoch:6802/50000,train loss:0.79328256,train accuracy:61.209089%,valid loss:0.76895001,valid accuracy:63.322204%
loss is 0.768950, is decreasing!! save moddel
epoch:6803/50000,train loss:0.79328469,train accuracy:61.208692%,valid loss:0.76894838,valid accuracy:63.322418%
loss is 0.768948, is decreasing!! save moddel
epoch:6804/50000,train loss:0.79327310,train accuracy:61.209638%,valid loss:0.76894310,valid accuracy:63.322851%
loss is 0.768943, is decreasing!! save moddel
epoch:6805/50000,train loss:0.79326392,train accuracy:61.210247%,valid loss:0.76894380,valid accuracy:63.322945%
epoch:6806/50000,train loss:0.79325477,train accuracy:61.210799%,valid loss:0.76893657,valid accuracy:63.323273%
loss is 0.768937, is decreasing!! save moddel
epoch:6807/50000,train loss:0.79324833,train accuracy:61.211279%,valid loss:0.76893353,valid accuracy:63.323602%
loss is 0.768934, is decreasing!! save moddel
epoch:6808/50000,train loss:0.79324802,train accuracy:61.210959%,valid loss:0.76892695,valid accuracy:63.324653%
loss is 0.768927, is decreasing!! save moddel
epoch:6809/50000,train loss:0.79324009,train accuracy:61.211258%,valid loss:0.76892282,valid accuracy:63.325090%
loss is 0.768923, is decreasing!! save moddel
epoch:6810/50000,train loss:0.79323377,train accuracy:61.211679%,valid loss:0.76891571,valid accuracy:63.325665%
loss is 0.768916, is decreasing!! save moddel
epoch:6811/50000,train loss:0.79322989,train accuracy:61.211599%,valid loss:0.76890776,valid accuracy:63.325976%
loss is 0.768908, is decreasing!! save moddel
epoch:6812/50000,train loss:0.79321961,train accuracy:61.212058%,valid loss:0.76890263,valid accuracy:63.326327%
loss is 0.768903, is decreasing!! save moddel
epoch:6813/50000,train loss:0.79321674,train accuracy:61.211792%,valid loss:0.76890530,valid accuracy:63.326185%
epoch:6814/50000,train loss:0.79320429,train accuracy:61.212756%,valid loss:0.76889593,valid accuracy:63.326513%
loss is 0.768896, is decreasing!! save moddel
epoch:6815/50000,train loss:0.79320196,train accuracy:61.212865%,valid loss:0.76888861,valid accuracy:63.327900%
loss is 0.768889, is decreasing!! save moddel
epoch:6816/50000,train loss:0.79319226,train accuracy:61.213296%,valid loss:0.76888051,valid accuracy:63.328594%
loss is 0.768881, is decreasing!! save moddel
epoch:6817/50000,train loss:0.79318508,train accuracy:61.213549%,valid loss:0.76887696,valid accuracy:63.328922%
loss is 0.768877, is decreasing!! save moddel
epoch:6818/50000,train loss:0.79317711,train accuracy:61.213927%,valid loss:0.76886999,valid accuracy:63.329238%
loss is 0.768870, is decreasing!! save moddel
epoch:6819/50000,train loss:0.79316707,train accuracy:61.214413%,valid loss:0.76886332,valid accuracy:63.329439%
loss is 0.768863, is decreasing!! save moddel
epoch:6820/50000,train loss:0.79315749,train accuracy:61.215009%,valid loss:0.76885691,valid accuracy:63.329772%
loss is 0.768857, is decreasing!! save moddel
epoch:6821/50000,train loss:0.79314576,train accuracy:61.215693%,valid loss:0.76885184,valid accuracy:63.330247%
loss is 0.768852, is decreasing!! save moddel
epoch:6822/50000,train loss:0.79314963,train accuracy:61.215494%,valid loss:0.76884513,valid accuracy:63.330912%
loss is 0.768845, is decreasing!! save moddel
epoch:6823/50000,train loss:0.79314032,train accuracy:61.216287%,valid loss:0.76883600,valid accuracy:63.331954%
loss is 0.768836, is decreasing!! save moddel
epoch:6824/50000,train loss:0.79313007,train accuracy:61.217009%,valid loss:0.76883367,valid accuracy:63.332046%
loss is 0.768834, is decreasing!! save moddel
epoch:6825/50000,train loss:0.79312045,train accuracy:61.217830%,valid loss:0.76882999,valid accuracy:63.331652%
loss is 0.768830, is decreasing!! save moddel
epoch:6826/50000,train loss:0.79311295,train accuracy:61.218254%,valid loss:0.76882847,valid accuracy:63.331630%
loss is 0.768828, is decreasing!! save moddel
epoch:6827/50000,train loss:0.79310415,train accuracy:61.218638%,valid loss:0.76882010,valid accuracy:63.332076%
loss is 0.768820, is decreasing!! save moddel
epoch:6828/50000,train loss:0.79310061,train accuracy:61.218714%,valid loss:0.76881148,valid accuracy:63.332643%
loss is 0.768811, is decreasing!! save moddel
epoch:6829/50000,train loss:0.79309153,train accuracy:61.219175%,valid loss:0.76880137,valid accuracy:63.333203%
loss is 0.768801, is decreasing!! save moddel
epoch:6830/50000,train loss:0.79308135,train accuracy:61.219681%,valid loss:0.76879852,valid accuracy:63.333398%
loss is 0.768799, is decreasing!! save moddel
epoch:6831/50000,train loss:0.79307436,train accuracy:61.219963%,valid loss:0.76878821,valid accuracy:63.333964%
loss is 0.768788, is decreasing!! save moddel
epoch:6832/50000,train loss:0.79306827,train accuracy:61.220427%,valid loss:0.76877927,valid accuracy:63.334890%
loss is 0.768779, is decreasing!! save moddel
epoch:6833/50000,train loss:0.79305394,train accuracy:61.221351%,valid loss:0.76877209,valid accuracy:63.335433%
loss is 0.768772, is decreasing!! save moddel
epoch:6834/50000,train loss:0.79304519,train accuracy:61.221925%,valid loss:0.76876403,valid accuracy:63.335633%
loss is 0.768764, is decreasing!! save moddel
epoch:6835/50000,train loss:0.79303520,train accuracy:61.222649%,valid loss:0.76875286,valid accuracy:63.336307%
loss is 0.768753, is decreasing!! save moddel
epoch:6836/50000,train loss:0.79303167,train accuracy:61.222774%,valid loss:0.76874517,valid accuracy:63.336855%
loss is 0.768745, is decreasing!! save moddel
epoch:6837/50000,train loss:0.79302741,train accuracy:61.223046%,valid loss:0.76873804,valid accuracy:63.337426%
loss is 0.768738, is decreasing!! save moddel
epoch:6838/50000,train loss:0.79302045,train accuracy:61.223417%,valid loss:0.76873075,valid accuracy:63.338219%
loss is 0.768731, is decreasing!! save moddel
epoch:6839/50000,train loss:0.79302142,train accuracy:61.222971%,valid loss:0.76872292,valid accuracy:63.339018%
loss is 0.768723, is decreasing!! save moddel
epoch:6840/50000,train loss:0.79300852,train accuracy:61.223765%,valid loss:0.76871294,valid accuracy:63.340268%
loss is 0.768713, is decreasing!! save moddel
epoch:6841/50000,train loss:0.79300087,train accuracy:61.224285%,valid loss:0.76870683,valid accuracy:63.340826%
loss is 0.768707, is decreasing!! save moddel
epoch:6842/50000,train loss:0.79298867,train accuracy:61.225163%,valid loss:0.76870134,valid accuracy:63.340220%
loss is 0.768701, is decreasing!! save moddel
epoch:6843/50000,train loss:0.79298219,train accuracy:61.225444%,valid loss:0.76869601,valid accuracy:63.339615%
loss is 0.768696, is decreasing!! save moddel
epoch:6844/50000,train loss:0.79297396,train accuracy:61.225894%,valid loss:0.76868822,valid accuracy:63.340402%
loss is 0.768688, is decreasing!! save moddel
epoch:6845/50000,train loss:0.79296836,train accuracy:61.226349%,valid loss:0.76867988,valid accuracy:63.340993%
loss is 0.768680, is decreasing!! save moddel
epoch:6846/50000,train loss:0.79296164,train accuracy:61.226340%,valid loss:0.76867511,valid accuracy:63.341432%
loss is 0.768675, is decreasing!! save moddel
epoch:6847/50000,train loss:0.79295075,train accuracy:61.226985%,valid loss:0.76867442,valid accuracy:63.341653%
loss is 0.768674, is decreasing!! save moddel
epoch:6848/50000,train loss:0.79294487,train accuracy:61.227241%,valid loss:0.76867902,valid accuracy:63.341646%
epoch:6849/50000,train loss:0.79293334,train accuracy:61.228148%,valid loss:0.76868226,valid accuracy:63.341628%
epoch:6850/50000,train loss:0.79292133,train accuracy:61.228781%,valid loss:0.76867673,valid accuracy:63.342077%
epoch:6851/50000,train loss:0.79290979,train accuracy:61.229562%,valid loss:0.76866765,valid accuracy:63.342988%
loss is 0.768668, is decreasing!! save moddel
epoch:6852/50000,train loss:0.79290253,train accuracy:61.230120%,valid loss:0.76865786,valid accuracy:63.343796%
loss is 0.768658, is decreasing!! save moddel
epoch:6853/50000,train loss:0.79289459,train accuracy:61.230661%,valid loss:0.76864848,valid accuracy:63.345059%
loss is 0.768648, is decreasing!! save moddel
epoch:6854/50000,train loss:0.79288940,train accuracy:61.230757%,valid loss:0.76864488,valid accuracy:63.345302%
loss is 0.768645, is decreasing!! save moddel
epoch:6855/50000,train loss:0.79287942,train accuracy:61.231446%,valid loss:0.76863831,valid accuracy:63.345425%
loss is 0.768638, is decreasing!! save moddel
epoch:6856/50000,train loss:0.79287042,train accuracy:61.231772%,valid loss:0.76863986,valid accuracy:63.345520%
epoch:6857/50000,train loss:0.79285930,train accuracy:61.232393%,valid loss:0.76863389,valid accuracy:63.345149%
loss is 0.768634, is decreasing!! save moddel
epoch:6858/50000,train loss:0.79284792,train accuracy:61.232989%,valid loss:0.76862787,valid accuracy:63.345722%
loss is 0.768628, is decreasing!! save moddel
epoch:6859/50000,train loss:0.79284509,train accuracy:61.232656%,valid loss:0.76862108,valid accuracy:63.346176%
loss is 0.768621, is decreasing!! save moddel
epoch:6860/50000,train loss:0.79283646,train accuracy:61.232844%,valid loss:0.76861189,valid accuracy:63.347323%
loss is 0.768612, is decreasing!! save moddel
epoch:6861/50000,train loss:0.79282533,train accuracy:61.233547%,valid loss:0.76860296,valid accuracy:63.348590%
loss is 0.768603, is decreasing!! save moddel
epoch:6862/50000,train loss:0.79282247,train accuracy:61.233654%,valid loss:0.76859536,valid accuracy:63.349379%
loss is 0.768595, is decreasing!! save moddel
epoch:6863/50000,train loss:0.79281625,train accuracy:61.233779%,valid loss:0.76860251,valid accuracy:63.349121%
epoch:6864/50000,train loss:0.79281390,train accuracy:61.233466%,valid loss:0.76859539,valid accuracy:63.349443%
epoch:6865/50000,train loss:0.79281445,train accuracy:61.233232%,valid loss:0.76859456,valid accuracy:63.349652%
loss is 0.768595, is decreasing!! save moddel
epoch:6866/50000,train loss:0.79280588,train accuracy:61.233708%,valid loss:0.76858793,valid accuracy:63.350434%
loss is 0.768588, is decreasing!! save moddel
epoch:6867/50000,train loss:0.79279871,train accuracy:61.234061%,valid loss:0.76861139,valid accuracy:63.348795%
epoch:6868/50000,train loss:0.79279095,train accuracy:61.234358%,valid loss:0.76861049,valid accuracy:63.348884%
epoch:6869/50000,train loss:0.79278185,train accuracy:61.235087%,valid loss:0.76860226,valid accuracy:63.349439%
epoch:6870/50000,train loss:0.79277078,train accuracy:61.235747%,valid loss:0.76859503,valid accuracy:63.350243%
epoch:6871/50000,train loss:0.79276320,train accuracy:61.236331%,valid loss:0.76859150,valid accuracy:63.350565%
epoch:6872/50000,train loss:0.79275647,train accuracy:61.236647%,valid loss:0.76858485,valid accuracy:63.351147%
loss is 0.768585, is decreasing!! save moddel
epoch:6873/50000,train loss:0.79276032,train accuracy:61.236018%,valid loss:0.76858351,valid accuracy:63.351497%
loss is 0.768584, is decreasing!! save moddel
epoch:6874/50000,train loss:0.79275684,train accuracy:61.236182%,valid loss:0.76858007,valid accuracy:63.352517%
loss is 0.768580, is decreasing!! save moddel
epoch:6875/50000,train loss:0.79275090,train accuracy:61.236332%,valid loss:0.76857479,valid accuracy:63.352963%
loss is 0.768575, is decreasing!! save moddel
epoch:6876/50000,train loss:0.79274664,train accuracy:61.236603%,valid loss:0.76858006,valid accuracy:63.353073%
epoch:6877/50000,train loss:0.79273920,train accuracy:61.237107%,valid loss:0.76857519,valid accuracy:63.353622%
epoch:6878/50000,train loss:0.79273025,train accuracy:61.237794%,valid loss:0.76857470,valid accuracy:63.354050%
loss is 0.768575, is decreasing!! save moddel
epoch:6879/50000,train loss:0.79272466,train accuracy:61.238083%,valid loss:0.76856996,valid accuracy:63.355540%
loss is 0.768570, is decreasing!! save moddel
epoch:6880/50000,train loss:0.79272572,train accuracy:61.237800%,valid loss:0.76856380,valid accuracy:63.355861%
loss is 0.768564, is decreasing!! save moddel
epoch:6881/50000,train loss:0.79271874,train accuracy:61.238361%,valid loss:0.76855912,valid accuracy:63.356311%
loss is 0.768559, is decreasing!! save moddel
epoch:6882/50000,train loss:0.79270967,train accuracy:61.238994%,valid loss:0.76855463,valid accuracy:63.356972%
loss is 0.768555, is decreasing!! save moddel
epoch:6883/50000,train loss:0.79270677,train accuracy:61.239213%,valid loss:0.76855381,valid accuracy:63.357281%
loss is 0.768554, is decreasing!! save moddel
epoch:6884/50000,train loss:0.79270234,train accuracy:61.239471%,valid loss:0.76855258,valid accuracy:63.357720%
loss is 0.768553, is decreasing!! save moddel
epoch:6885/50000,train loss:0.79269403,train accuracy:61.239800%,valid loss:0.76855182,valid accuracy:63.358148%
loss is 0.768552, is decreasing!! save moddel
epoch:6886/50000,train loss:0.79269053,train accuracy:61.240337%,valid loss:0.76854565,valid accuracy:63.358383%
loss is 0.768546, is decreasing!! save moddel
epoch:6887/50000,train loss:0.79268127,train accuracy:61.241040%,valid loss:0.76854247,valid accuracy:63.358827%
loss is 0.768542, is decreasing!! save moddel
epoch:6888/50000,train loss:0.79267312,train accuracy:61.241369%,valid loss:0.76853819,valid accuracy:63.358920%
loss is 0.768538, is decreasing!! save moddel
epoch:6889/50000,train loss:0.79266423,train accuracy:61.242102%,valid loss:0.76853704,valid accuracy:63.359267%
loss is 0.768537, is decreasing!! save moddel
epoch:6890/50000,train loss:0.79266458,train accuracy:61.242119%,valid loss:0.76853217,valid accuracy:63.359728%
loss is 0.768532, is decreasing!! save moddel
epoch:6891/50000,train loss:0.79266195,train accuracy:61.242209%,valid loss:0.76852957,valid accuracy:63.360047%
loss is 0.768530, is decreasing!! save moddel
epoch:6892/50000,train loss:0.79265789,train accuracy:61.242247%,valid loss:0.76852340,valid accuracy:63.360604%
loss is 0.768523, is decreasing!! save moddel
epoch:6893/50000,train loss:0.79265127,train accuracy:61.242972%,valid loss:0.76851635,valid accuracy:63.361303%
loss is 0.768516, is decreasing!! save moddel
epoch:6894/50000,train loss:0.79264204,train accuracy:61.243615%,valid loss:0.76850924,valid accuracy:63.362108%
loss is 0.768509, is decreasing!! save moddel
epoch:6895/50000,train loss:0.79263193,train accuracy:61.244337%,valid loss:0.76850804,valid accuracy:63.362331%
loss is 0.768508, is decreasing!! save moddel
epoch:6896/50000,train loss:0.79262214,train accuracy:61.244770%,valid loss:0.76850197,valid accuracy:63.363102%
loss is 0.768502, is decreasing!! save moddel
epoch:6897/50000,train loss:0.79261129,train accuracy:61.245382%,valid loss:0.76852329,valid accuracy:63.362261%
epoch:6898/50000,train loss:0.79260265,train accuracy:61.246088%,valid loss:0.76852184,valid accuracy:63.362602%
epoch:6899/50000,train loss:0.79259231,train accuracy:61.246717%,valid loss:0.76852304,valid accuracy:63.362683%
epoch:6900/50000,train loss:0.79258315,train accuracy:61.247429%,valid loss:0.76851580,valid accuracy:63.363391%
epoch:6901/50000,train loss:0.79257270,train accuracy:61.247964%,valid loss:0.76850893,valid accuracy:63.364054%
epoch:6902/50000,train loss:0.79257426,train accuracy:61.247912%,valid loss:0.76851550,valid accuracy:63.362189%
epoch:6903/50000,train loss:0.79257075,train accuracy:61.248231%,valid loss:0.76851108,valid accuracy:63.362762%
epoch:6904/50000,train loss:0.79256964,train accuracy:61.248265%,valid loss:0.76851379,valid accuracy:63.361463%
epoch:6905/50000,train loss:0.79256179,train accuracy:61.248767%,valid loss:0.76851171,valid accuracy:63.361781%
epoch:6906/50000,train loss:0.79255332,train accuracy:61.249094%,valid loss:0.76850960,valid accuracy:63.362331%
epoch:6907/50000,train loss:0.79255105,train accuracy:61.249093%,valid loss:0.76850921,valid accuracy:63.361378%
epoch:6908/50000,train loss:0.79255106,train accuracy:61.248953%,valid loss:0.76851599,valid accuracy:63.361815%
epoch:6909/50000,train loss:0.79254604,train accuracy:61.249114%,valid loss:0.76851902,valid accuracy:63.362166%
epoch:6910/50000,train loss:0.79254244,train accuracy:61.249370%,valid loss:0.76852179,valid accuracy:63.362609%
epoch:6911/50000,train loss:0.79254135,train accuracy:61.249427%,valid loss:0.76852200,valid accuracy:63.362836%
epoch:6912/50000,train loss:0.79254654,train accuracy:61.249020%,valid loss:0.76852458,valid accuracy:63.363261%
epoch:6913/50000,train loss:0.79254082,train accuracy:61.249486%,valid loss:0.76852428,valid accuracy:63.363731%
epoch:6914/50000,train loss:0.79253645,train accuracy:61.249655%,valid loss:0.76852377,valid accuracy:63.364054%
epoch:6915/50000,train loss:0.79253474,train accuracy:61.249519%,valid loss:0.76852134,valid accuracy:63.364281%
epoch:6916/50000,train loss:0.79252956,train accuracy:61.249984%,valid loss:0.76852614,valid accuracy:63.364977%
epoch:6917/50000,train loss:0.79252256,train accuracy:61.250224%,valid loss:0.76852530,valid accuracy:63.365401%
epoch:6918/50000,train loss:0.79252092,train accuracy:61.250486%,valid loss:0.76852356,valid accuracy:63.365730%
epoch:6919/50000,train loss:0.79251498,train accuracy:61.250940%,valid loss:0.76852402,valid accuracy:63.366166%
epoch:6920/50000,train loss:0.79251231,train accuracy:61.251052%,valid loss:0.76852483,valid accuracy:63.366488%
epoch:6921/50000,train loss:0.79250829,train accuracy:61.251021%,valid loss:0.76852911,valid accuracy:63.367025%
epoch:6922/50000,train loss:0.79250683,train accuracy:61.251137%,valid loss:0.76853068,valid accuracy:63.366563%
epoch:6923/50000,train loss:0.79250801,train accuracy:61.250967%,valid loss:0.76853594,valid accuracy:63.366649%
epoch:6924/50000,train loss:0.79250597,train accuracy:61.250970%,valid loss:0.76854332,valid accuracy:63.365940%
epoch:6925/50000,train loss:0.79250473,train accuracy:61.250966%,valid loss:0.76855402,valid accuracy:63.366488%
epoch:6926/50000,train loss:0.79250259,train accuracy:61.250752%,valid loss:0.76856074,valid accuracy:63.366309%
epoch:6927/50000,train loss:0.79250510,train accuracy:61.251063%,valid loss:0.76856419,valid accuracy:63.366519%
epoch:6928/50000,train loss:0.79250422,train accuracy:61.250881%,valid loss:0.76857433,valid accuracy:63.366965%
epoch:6929/50000,train loss:0.79250466,train accuracy:61.250801%,valid loss:0.76858402,valid accuracy:63.367377%
epoch:6930/50000,train loss:0.79250234,train accuracy:61.250886%,valid loss:0.76859283,valid accuracy:63.367840%
epoch:6931/50000,train loss:0.79250228,train accuracy:61.251301%,valid loss:0.76860878,valid accuracy:63.368269%
epoch:6932/50000,train loss:0.79250827,train accuracy:61.250779%,valid loss:0.76861192,valid accuracy:63.368822%
epoch:6933/50000,train loss:0.79250326,train accuracy:61.250897%,valid loss:0.76861169,valid accuracy:63.369154%
epoch:6934/50000,train loss:0.79250103,train accuracy:61.250818%,valid loss:0.76861273,valid accuracy:63.369160%
epoch:6935/50000,train loss:0.79249590,train accuracy:61.251012%,valid loss:0.76861331,valid accuracy:63.369284%
epoch:6936/50000,train loss:0.79249727,train accuracy:61.250682%,valid loss:0.76861627,valid accuracy:63.369295%
epoch:6937/50000,train loss:0.79250423,train accuracy:61.249952%,valid loss:0.76862292,valid accuracy:63.369488%
epoch:6938/50000,train loss:0.79250973,train accuracy:61.249656%,valid loss:0.76862530,valid accuracy:63.370125%
epoch:6939/50000,train loss:0.79251585,train accuracy:61.249144%,valid loss:0.76862443,valid accuracy:63.370221%
epoch:6940/50000,train loss:0.79250972,train accuracy:61.249440%,valid loss:0.76862953,valid accuracy:63.370896%
epoch:6941/50000,train loss:0.79250167,train accuracy:61.250014%,valid loss:0.76862784,valid accuracy:63.371201%
epoch:6942/50000,train loss:0.79250314,train accuracy:61.249664%,valid loss:0.76862559,valid accuracy:63.371544%
epoch:6943/50000,train loss:0.79249750,train accuracy:61.249861%,valid loss:0.76862241,valid accuracy:63.371730%
epoch:6944/50000,train loss:0.79249054,train accuracy:61.250179%,valid loss:0.76862063,valid accuracy:63.372146%
epoch:6945/50000,train loss:0.79248354,train accuracy:61.250556%,valid loss:0.76861802,valid accuracy:63.372602%
epoch:6946/50000,train loss:0.79248253,train accuracy:61.250394%,valid loss:0.76861599,valid accuracy:63.372911%
epoch:6947/50000,train loss:0.79247465,train accuracy:61.250704%,valid loss:0.76861284,valid accuracy:63.373193%
epoch:6948/50000,train loss:0.79247089,train accuracy:61.250636%,valid loss:0.76862724,valid accuracy:63.373052%
epoch:6949/50000,train loss:0.79246504,train accuracy:61.250868%,valid loss:0.76862396,valid accuracy:63.373496%
epoch:6950/50000,train loss:0.79246080,train accuracy:61.250956%,valid loss:0.76862394,valid accuracy:63.373918%
epoch:6951/50000,train loss:0.79245563,train accuracy:61.250944%,valid loss:0.76862985,valid accuracy:63.374243%
epoch:6952/50000,train loss:0.79244919,train accuracy:61.251370%,valid loss:0.76863057,valid accuracy:63.374665%
epoch:6953/50000,train loss:0.79244313,train accuracy:61.251545%,valid loss:0.76862840,valid accuracy:63.374834%
epoch:6954/50000,train loss:0.79244129,train accuracy:61.251568%,valid loss:0.76862770,valid accuracy:63.374362%
epoch:6955/50000,train loss:0.79243739,train accuracy:61.251993%,valid loss:0.76862635,valid accuracy:63.374194%
epoch:6956/50000,train loss:0.79243273,train accuracy:61.251842%,valid loss:0.76862507,valid accuracy:63.374385%
epoch:6957/50000,train loss:0.79242792,train accuracy:61.251998%,valid loss:0.76862390,valid accuracy:63.374565%
epoch:6958/50000,train loss:0.79242484,train accuracy:61.252120%,valid loss:0.76862350,valid accuracy:63.374676%
epoch:6959/50000,train loss:0.79242532,train accuracy:61.251820%,valid loss:0.76862142,valid accuracy:63.375001%
epoch:6960/50000,train loss:0.79242016,train accuracy:61.251831%,valid loss:0.76862011,valid accuracy:63.375293%
epoch:6961/50000,train loss:0.79241435,train accuracy:61.251920%,valid loss:0.76861936,valid accuracy:63.375725%
epoch:6962/50000,train loss:0.79240802,train accuracy:61.252404%,valid loss:0.76861910,valid accuracy:63.376510%
epoch:6963/50000,train loss:0.79240400,train accuracy:61.252903%,valid loss:0.76861897,valid accuracy:63.376744%
epoch:6964/50000,train loss:0.79239761,train accuracy:61.253261%,valid loss:0.76861939,valid accuracy:63.377075%
epoch:6965/50000,train loss:0.79239444,train accuracy:61.253338%,valid loss:0.76861768,valid accuracy:63.377607%
epoch:6966/50000,train loss:0.79238918,train accuracy:61.253464%,valid loss:0.76861795,valid accuracy:63.377920%
epoch:6967/50000,train loss:0.79239371,train accuracy:61.252891%,valid loss:0.76862231,valid accuracy:63.378373%
epoch:6968/50000,train loss:0.79239040,train accuracy:61.252766%,valid loss:0.76862744,valid accuracy:63.378664%
epoch:6969/50000,train loss:0.79238469,train accuracy:61.252941%,valid loss:0.76862683,valid accuracy:63.378860%
epoch:6970/50000,train loss:0.79238012,train accuracy:61.253410%,valid loss:0.76863045,valid accuracy:63.379028%
epoch:6971/50000,train loss:0.79237660,train accuracy:61.253562%,valid loss:0.76862971,valid accuracy:63.379122%
epoch:6972/50000,train loss:0.79237641,train accuracy:61.253546%,valid loss:0.76863315,valid accuracy:63.379429%
epoch:6973/50000,train loss:0.79237143,train accuracy:61.253537%,valid loss:0.76863796,valid accuracy:63.379983%
epoch:6974/50000,train loss:0.79236896,train accuracy:61.253423%,valid loss:0.76864273,valid accuracy:63.380200%
epoch:6975/50000,train loss:0.79236380,train accuracy:61.253675%,valid loss:0.76864574,valid accuracy:63.380513%
epoch:6976/50000,train loss:0.79235765,train accuracy:61.253767%,valid loss:0.76864396,valid accuracy:63.381071%
epoch:6977/50000,train loss:0.79235335,train accuracy:61.253925%,valid loss:0.76864515,valid accuracy:63.381373%
epoch:6978/50000,train loss:0.79234856,train accuracy:61.254212%,valid loss:0.76864651,valid accuracy:63.381668%
epoch:6979/50000,train loss:0.79234584,train accuracy:61.254557%,valid loss:0.76864455,valid accuracy:63.381891%
epoch:6980/50000,train loss:0.79234119,train accuracy:61.254626%,valid loss:0.76864477,valid accuracy:63.382074%
epoch:6981/50000,train loss:0.79234580,train accuracy:61.254345%,valid loss:0.76864600,valid accuracy:63.382179%
epoch:6982/50000,train loss:0.79235001,train accuracy:61.253807%,valid loss:0.76864662,valid accuracy:63.382273%
epoch:6983/50000,train loss:0.79234764,train accuracy:61.253725%,valid loss:0.76864737,valid accuracy:63.382484%
epoch:6984/50000,train loss:0.79234404,train accuracy:61.253791%,valid loss:0.76864850,valid accuracy:63.382790%
epoch:6985/50000,train loss:0.79234170,train accuracy:61.253894%,valid loss:0.76865147,valid accuracy:63.382180%
epoch:6986/50000,train loss:0.79234146,train accuracy:61.253945%,valid loss:0.76865274,valid accuracy:63.382391%
epoch:6987/50000,train loss:0.79235157,train accuracy:61.253429%,valid loss:0.76865789,valid accuracy:63.382686%
epoch:6988/50000,train loss:0.79235196,train accuracy:61.253279%,valid loss:0.76866374,valid accuracy:63.382971%
epoch:6989/50000,train loss:0.79235024,train accuracy:61.253513%,valid loss:0.76866727,valid accuracy:63.383260%
epoch:6990/50000,train loss:0.79235193,train accuracy:61.253293%,valid loss:0.76867569,valid accuracy:63.381489%
epoch:6991/50000,train loss:0.79234850,train accuracy:61.253299%,valid loss:0.76867853,valid accuracy:63.380571%
epoch:6992/50000,train loss:0.79235171,train accuracy:61.252699%,valid loss:0.76869411,valid accuracy:63.380191%
epoch:6993/50000,train loss:0.79236343,train accuracy:61.251787%,valid loss:0.76869447,valid accuracy:63.380023%
epoch:6994/50000,train loss:0.79236592,train accuracy:61.251153%,valid loss:0.76869452,valid accuracy:63.379765%
epoch:6995/50000,train loss:0.79236862,train accuracy:61.250907%,valid loss:0.76869440,valid accuracy:63.380071%
epoch:6996/50000,train loss:0.79236868,train accuracy:61.250832%,valid loss:0.76871491,valid accuracy:63.379351%
epoch:6997/50000,train loss:0.79237002,train accuracy:61.250910%,valid loss:0.76871558,valid accuracy:63.379211%
epoch:6998/50000,train loss:0.79236584,train accuracy:61.250819%,valid loss:0.76872110,valid accuracy:63.379517%
epoch:6999/50000,train loss:0.79236923,train accuracy:61.250491%,valid loss:0.76872776,valid accuracy:63.379594%
epoch:7000/50000,train loss:0.79236738,train accuracy:61.250494%,valid loss:0.76872929,valid accuracy:63.379326%
epoch:7001/50000,train loss:0.79236522,train accuracy:61.250411%,valid loss:0.76873069,valid accuracy:63.379202%
epoch:7002/50000,train loss:0.79237111,train accuracy:61.250035%,valid loss:0.76873206,valid accuracy:63.379201%
epoch:7003/50000,train loss:0.79237025,train accuracy:61.249897%,valid loss:0.76874778,valid accuracy:63.378944%
epoch:7004/50000,train loss:0.79238403,train accuracy:61.248919%,valid loss:0.76875436,valid accuracy:63.378809%
epoch:7005/50000,train loss:0.79238675,train accuracy:61.248524%,valid loss:0.76876198,valid accuracy:63.378547%
epoch:7006/50000,train loss:0.79238970,train accuracy:61.248115%,valid loss:0.76877141,valid accuracy:63.378652%
epoch:7007/50000,train loss:0.79239286,train accuracy:61.248041%,valid loss:0.76877924,valid accuracy:63.378517%
epoch:7008/50000,train loss:0.79239605,train accuracy:61.247865%,valid loss:0.76878738,valid accuracy:63.378026%
epoch:7009/50000,train loss:0.79239959,train accuracy:61.247668%,valid loss:0.76879443,valid accuracy:63.377663%
epoch:7010/50000,train loss:0.79240332,train accuracy:61.247389%,valid loss:0.76880133,valid accuracy:63.377885%
epoch:7011/50000,train loss:0.79240337,train accuracy:61.247234%,valid loss:0.76880720,valid accuracy:63.377946%
epoch:7012/50000,train loss:0.79240608,train accuracy:61.247037%,valid loss:0.76881397,valid accuracy:63.377823%
epoch:7013/50000,train loss:0.79240757,train accuracy:61.246789%,valid loss:0.76882693,valid accuracy:63.378129%
epoch:7014/50000,train loss:0.79241753,train accuracy:61.246103%,valid loss:0.76883805,valid accuracy:63.377060%
epoch:7015/50000,train loss:0.79242142,train accuracy:61.245943%,valid loss:0.76884785,valid accuracy:63.377271%
epoch:7016/50000,train loss:0.79242332,train accuracy:61.245779%,valid loss:0.76885603,valid accuracy:63.376653%
epoch:7017/50000,train loss:0.79243077,train accuracy:61.245223%,valid loss:0.76886747,valid accuracy:63.376980%
epoch:7018/50000,train loss:0.79244353,train accuracy:61.244482%,valid loss:0.76887995,valid accuracy:63.377191%
epoch:7019/50000,train loss:0.79244356,train accuracy:61.244645%,valid loss:0.76888827,valid accuracy:63.377280%
epoch:7020/50000,train loss:0.79244386,train accuracy:61.244518%,valid loss:0.76889743,valid accuracy:63.377485%
epoch:7021/50000,train loss:0.79244834,train accuracy:61.244248%,valid loss:0.76890754,valid accuracy:63.377451%
epoch:7022/50000,train loss:0.79245773,train accuracy:61.243658%,valid loss:0.76893229,valid accuracy:63.377062%
epoch:7023/50000,train loss:0.79246290,train accuracy:61.243224%,valid loss:0.76893895,valid accuracy:63.376833%
epoch:7024/50000,train loss:0.79246891,train accuracy:61.242742%,valid loss:0.76894636,valid accuracy:63.376599%
epoch:7025/50000,train loss:0.79246934,train accuracy:61.242642%,valid loss:0.76895333,valid accuracy:63.376443%
epoch:7026/50000,train loss:0.79247224,train accuracy:61.242409%,valid loss:0.76896155,valid accuracy:63.376654%
epoch:7027/50000,train loss:0.79247119,train accuracy:61.242535%,valid loss:0.76896722,valid accuracy:63.376875%
epoch:7028/50000,train loss:0.79246960,train accuracy:61.242502%,valid loss:0.76897178,valid accuracy:63.376975%
epoch:7029/50000,train loss:0.79246906,train accuracy:61.242639%,valid loss:0.76897675,valid accuracy:63.377047%
epoch:7030/50000,train loss:0.79246954,train accuracy:61.242702%,valid loss:0.76898297,valid accuracy:63.377241%
epoch:7031/50000,train loss:0.79246721,train accuracy:61.242744%,valid loss:0.76898943,valid accuracy:63.377329%
epoch:7032/50000,train loss:0.79246769,train accuracy:61.242600%,valid loss:0.76899259,valid accuracy:63.377523%
epoch:7033/50000,train loss:0.79247293,train accuracy:61.242320%,valid loss:0.76900582,valid accuracy:63.377611%
epoch:7034/50000,train loss:0.79247174,train accuracy:61.242434%,valid loss:0.76901393,valid accuracy:63.377816%
epoch:7035/50000,train loss:0.79247347,train accuracy:61.242404%,valid loss:0.76901367,valid accuracy:63.378143%
epoch:7036/50000,train loss:0.79247107,train accuracy:61.242593%,valid loss:0.76901502,valid accuracy:63.378225%
epoch:7037/50000,train loss:0.79246676,train accuracy:61.242822%,valid loss:0.76901439,valid accuracy:63.378286%
epoch:7038/50000,train loss:0.79247140,train accuracy:61.242534%,valid loss:0.76901606,valid accuracy:63.377692%
epoch:7039/50000,train loss:0.79247530,train accuracy:61.242364%,valid loss:0.76901707,valid accuracy:63.377691%
epoch:7040/50000,train loss:0.79248411,train accuracy:61.241518%,valid loss:0.76901879,valid accuracy:63.377585%
epoch:7041/50000,train loss:0.79248159,train accuracy:61.241608%,valid loss:0.76902221,valid accuracy:63.377413%
epoch:7042/50000,train loss:0.79248167,train accuracy:61.241925%,valid loss:0.76902520,valid accuracy:63.377284%
epoch:7043/50000,train loss:0.79248127,train accuracy:61.242088%,valid loss:0.76902793,valid accuracy:63.377018%
epoch:7044/50000,train loss:0.79248316,train accuracy:61.242010%,valid loss:0.76903630,valid accuracy:63.377228%
epoch:7045/50000,train loss:0.79248347,train accuracy:61.242040%,valid loss:0.76903791,valid accuracy:63.377211%
epoch:7046/50000,train loss:0.79248149,train accuracy:61.242174%,valid loss:0.76905887,valid accuracy:63.376734%
epoch:7047/50000,train loss:0.79248151,train accuracy:61.242322%,valid loss:0.76906253,valid accuracy:63.376738%
epoch:7048/50000,train loss:0.79248280,train accuracy:61.242374%,valid loss:0.76906826,valid accuracy:63.376710%
epoch:7049/50000,train loss:0.79248558,train accuracy:61.242492%,valid loss:0.76907599,valid accuracy:63.376450%
epoch:7050/50000,train loss:0.79249364,train accuracy:61.242267%,valid loss:0.76908033,valid accuracy:63.376084%
epoch:7051/50000,train loss:0.79249569,train accuracy:61.242031%,valid loss:0.76908779,valid accuracy:63.376488%
epoch:7052/50000,train loss:0.79249281,train accuracy:61.242323%,valid loss:0.76908657,valid accuracy:63.376787%
epoch:7053/50000,train loss:0.79248916,train accuracy:61.242386%,valid loss:0.76908666,valid accuracy:63.377002%
epoch:7054/50000,train loss:0.79248784,train accuracy:61.242312%,valid loss:0.76908642,valid accuracy:63.377179%
epoch:7055/50000,train loss:0.79248251,train accuracy:61.242537%,valid loss:0.76908592,valid accuracy:63.377362%
epoch:7056/50000,train loss:0.79248252,train accuracy:61.242656%,valid loss:0.76908692,valid accuracy:63.377344%
epoch:7057/50000,train loss:0.79248066,train accuracy:61.242845%,valid loss:0.76908719,valid accuracy:63.377405%
epoch:7058/50000,train loss:0.79247523,train accuracy:61.243077%,valid loss:0.76908484,valid accuracy:63.377609%
epoch:7059/50000,train loss:0.79247226,train accuracy:61.243040%,valid loss:0.76908291,valid accuracy:63.377802%
epoch:7060/50000,train loss:0.79246483,train accuracy:61.243540%,valid loss:0.76908029,valid accuracy:63.378106%
epoch:7061/50000,train loss:0.79245743,train accuracy:61.243915%,valid loss:0.76907832,valid accuracy:63.378277%
epoch:7062/50000,train loss:0.79245200,train accuracy:61.243845%,valid loss:0.76907521,valid accuracy:63.377780%
epoch:7063/50000,train loss:0.79244569,train accuracy:61.244188%,valid loss:0.76907432,valid accuracy:63.378321%
epoch:7064/50000,train loss:0.79243848,train accuracy:61.244539%,valid loss:0.76906874,valid accuracy:63.378425%
epoch:7065/50000,train loss:0.79243371,train accuracy:61.244653%,valid loss:0.76906595,valid accuracy:63.378634%
epoch:7066/50000,train loss:0.79242463,train accuracy:61.245195%,valid loss:0.76906107,valid accuracy:63.378816%
epoch:7067/50000,train loss:0.79241305,train accuracy:61.246063%,valid loss:0.76906187,valid accuracy:63.379146%
epoch:7068/50000,train loss:0.79240470,train accuracy:61.246486%,valid loss:0.76905587,valid accuracy:63.379460%
epoch:7069/50000,train loss:0.79239413,train accuracy:61.247159%,valid loss:0.76905860,valid accuracy:63.379664%
epoch:7070/50000,train loss:0.79238621,train accuracy:61.247571%,valid loss:0.76905186,valid accuracy:63.380088%
epoch:7071/50000,train loss:0.79237795,train accuracy:61.248012%,valid loss:0.76904628,valid accuracy:63.380292%
epoch:7072/50000,train loss:0.79236762,train accuracy:61.248644%,valid loss:0.76904194,valid accuracy:63.380357%
epoch:7073/50000,train loss:0.79235666,train accuracy:61.249273%,valid loss:0.76903763,valid accuracy:63.380566%
epoch:7074/50000,train loss:0.79234619,train accuracy:61.249990%,valid loss:0.76903246,valid accuracy:63.380890%
epoch:7075/50000,train loss:0.79233742,train accuracy:61.250449%,valid loss:0.76902489,valid accuracy:63.381309%
epoch:7076/50000,train loss:0.79233322,train accuracy:61.250331%,valid loss:0.76902607,valid accuracy:63.380938%
epoch:7077/50000,train loss:0.79233374,train accuracy:61.249958%,valid loss:0.76902050,valid accuracy:63.381257%
epoch:7078/50000,train loss:0.79232722,train accuracy:61.250325%,valid loss:0.76901577,valid accuracy:63.381323%
epoch:7079/50000,train loss:0.79231799,train accuracy:61.250589%,valid loss:0.76900858,valid accuracy:63.381757%
epoch:7080/50000,train loss:0.79231028,train accuracy:61.250654%,valid loss:0.76900496,valid accuracy:63.382081%
epoch:7081/50000,train loss:0.79230844,train accuracy:61.251057%,valid loss:0.76900957,valid accuracy:63.381275%
epoch:7082/50000,train loss:0.79230817,train accuracy:61.250958%,valid loss:0.76901024,valid accuracy:63.380590%
epoch:7083/50000,train loss:0.79230427,train accuracy:61.250990%,valid loss:0.76900438,valid accuracy:63.381003%
epoch:7084/50000,train loss:0.79229703,train accuracy:61.251015%,valid loss:0.76900060,valid accuracy:63.380974%
epoch:7085/50000,train loss:0.79228764,train accuracy:61.251520%,valid loss:0.76899401,valid accuracy:63.381623%
epoch:7086/50000,train loss:0.79228273,train accuracy:61.251823%,valid loss:0.76898746,valid accuracy:63.382388%
epoch:7087/50000,train loss:0.79227674,train accuracy:61.252263%,valid loss:0.76898229,valid accuracy:63.382695%
epoch:7088/50000,train loss:0.79227388,train accuracy:61.252375%,valid loss:0.76897222,valid accuracy:63.383339%
epoch:7089/50000,train loss:0.79226289,train accuracy:61.253148%,valid loss:0.76896166,valid accuracy:63.383866%
epoch:7090/50000,train loss:0.79225199,train accuracy:61.253793%,valid loss:0.76895204,valid accuracy:63.384063%
epoch:7091/50000,train loss:0.79224081,train accuracy:61.254559%,valid loss:0.76894373,valid accuracy:63.384402%
epoch:7092/50000,train loss:0.79223350,train accuracy:61.254851%,valid loss:0.76893726,valid accuracy:63.384962%
epoch:7093/50000,train loss:0.79222174,train accuracy:61.255825%,valid loss:0.76892868,valid accuracy:63.385384%
epoch:7094/50000,train loss:0.79220988,train accuracy:61.256506%,valid loss:0.76892084,valid accuracy:63.385812%
epoch:7095/50000,train loss:0.79219881,train accuracy:61.257392%,valid loss:0.76892562,valid accuracy:63.385689%
epoch:7096/50000,train loss:0.79218740,train accuracy:61.258020%,valid loss:0.76891917,valid accuracy:63.386210%
epoch:7097/50000,train loss:0.79218137,train accuracy:61.258136%,valid loss:0.76891096,valid accuracy:63.386780%
epoch:7098/50000,train loss:0.79216937,train accuracy:61.258900%,valid loss:0.76890163,valid accuracy:63.387333%
epoch:7099/50000,train loss:0.79215644,train accuracy:61.259469%,valid loss:0.76889038,valid accuracy:63.387645%
epoch:7100/50000,train loss:0.79214481,train accuracy:61.260208%,valid loss:0.76887951,valid accuracy:63.388056%
epoch:7101/50000,train loss:0.79214015,train accuracy:61.260553%,valid loss:0.76886829,valid accuracy:63.388598%
epoch:7102/50000,train loss:0.79212720,train accuracy:61.261177%,valid loss:0.76886184,valid accuracy:63.389223%
epoch:7103/50000,train loss:0.79211458,train accuracy:61.262116%,valid loss:0.76884982,valid accuracy:63.389539%
epoch:7104/50000,train loss:0.79210334,train accuracy:61.262725%,valid loss:0.76883832,valid accuracy:63.390054%
epoch:7105/50000,train loss:0.79209320,train accuracy:61.263572%,valid loss:0.76883075,valid accuracy:63.390134%
epoch:7106/50000,train loss:0.79208837,train accuracy:61.263478%,valid loss:0.76881984,valid accuracy:63.390770%
epoch:7107/50000,train loss:0.79207861,train accuracy:61.263962%,valid loss:0.76880961,valid accuracy:63.391201%
epoch:7108/50000,train loss:0.79207348,train accuracy:61.264318%,valid loss:0.76880095,valid accuracy:63.391605%
epoch:7109/50000,train loss:0.79206168,train accuracy:61.264902%,valid loss:0.76878973,valid accuracy:63.391822%
epoch:7110/50000,train loss:0.79205359,train accuracy:61.265488%,valid loss:0.76877994,valid accuracy:63.392369%
epoch:7111/50000,train loss:0.79204779,train accuracy:61.265617%,valid loss:0.76876883,valid accuracy:63.392673%
epoch:7112/50000,train loss:0.79203893,train accuracy:61.266064%,valid loss:0.76875970,valid accuracy:63.393428%
epoch:7113/50000,train loss:0.79203299,train accuracy:61.266381%,valid loss:0.76875100,valid accuracy:63.393980%
epoch:7114/50000,train loss:0.79202794,train accuracy:61.266466%,valid loss:0.76874119,valid accuracy:63.394400%
epoch:7115/50000,train loss:0.79202417,train accuracy:61.266447%,valid loss:0.76873652,valid accuracy:63.394150%
epoch:7116/50000,train loss:0.79201561,train accuracy:61.266661%,valid loss:0.76872934,valid accuracy:63.394591%
epoch:7117/50000,train loss:0.79200567,train accuracy:61.267345%,valid loss:0.76872024,valid accuracy:63.395016%
epoch:7118/50000,train loss:0.79200031,train accuracy:61.267692%,valid loss:0.76871511,valid accuracy:63.395540%
epoch:7119/50000,train loss:0.79198836,train accuracy:61.268547%,valid loss:0.76870784,valid accuracy:63.395959%
epoch:7120/50000,train loss:0.79197911,train accuracy:61.269070%,valid loss:0.76869728,valid accuracy:63.396855%
epoch:7121/50000,train loss:0.79196674,train accuracy:61.269823%,valid loss:0.76868672,valid accuracy:63.397148%
epoch:7122/50000,train loss:0.79195470,train accuracy:61.270897%,valid loss:0.76867930,valid accuracy:63.397572%
epoch:7123/50000,train loss:0.79194286,train accuracy:61.271521%,valid loss:0.76867011,valid accuracy:63.398231%
epoch:7124/50000,train loss:0.79193374,train accuracy:61.272264%,valid loss:0.76866051,valid accuracy:63.398979%
epoch:7125/50000,train loss:0.79192796,train accuracy:61.272584%,valid loss:0.76865773,valid accuracy:63.398148%
epoch:7126/50000,train loss:0.79191942,train accuracy:61.272966%,valid loss:0.76865265,valid accuracy:63.398676%
epoch:7127/50000,train loss:0.79190703,train accuracy:61.273630%,valid loss:0.76864341,valid accuracy:63.399424%
epoch:7128/50000,train loss:0.79189534,train accuracy:61.274479%,valid loss:0.76863346,valid accuracy:63.399973%
epoch:7129/50000,train loss:0.79188521,train accuracy:61.275015%,valid loss:0.76862531,valid accuracy:63.400511%
epoch:7130/50000,train loss:0.79187926,train accuracy:61.275375%,valid loss:0.76861695,valid accuracy:63.400814%
epoch:7131/50000,train loss:0.79187034,train accuracy:61.276020%,valid loss:0.76860775,valid accuracy:63.401211%
epoch:7132/50000,train loss:0.79185694,train accuracy:61.276639%,valid loss:0.76860200,valid accuracy:63.401190%
epoch:7133/50000,train loss:0.79184576,train accuracy:61.277316%,valid loss:0.76859561,valid accuracy:63.401723%
epoch:7134/50000,train loss:0.79183764,train accuracy:61.277844%,valid loss:0.76859056,valid accuracy:63.402370%
epoch:7135/50000,train loss:0.79182592,train accuracy:61.278634%,valid loss:0.76858020,valid accuracy:63.403126%
epoch:7136/50000,train loss:0.79181445,train accuracy:61.279257%,valid loss:0.76857039,valid accuracy:63.403544%
epoch:7137/50000,train loss:0.79180161,train accuracy:61.279872%,valid loss:0.76856334,valid accuracy:63.404086%
epoch:7138/50000,train loss:0.79179220,train accuracy:61.280615%,valid loss:0.76855505,valid accuracy:63.404842%
epoch:7139/50000,train loss:0.79177959,train accuracy:61.281474%,valid loss:0.76854682,valid accuracy:63.405369%
epoch:7140/50000,train loss:0.79176740,train accuracy:61.282248%,valid loss:0.76853522,valid accuracy:63.405796%
epoch:7141/50000,train loss:0.79175344,train accuracy:61.282958%,valid loss:0.76852392,valid accuracy:63.406212%
epoch:7142/50000,train loss:0.79174845,train accuracy:61.283169%,valid loss:0.76852202,valid accuracy:63.405628%
epoch:7143/50000,train loss:0.79173774,train accuracy:61.283699%,valid loss:0.76851195,valid accuracy:63.406029%
epoch:7144/50000,train loss:0.79172819,train accuracy:61.284080%,valid loss:0.76850376,valid accuracy:63.406079%
epoch:7145/50000,train loss:0.79171998,train accuracy:61.284709%,valid loss:0.76849737,valid accuracy:63.406272%
loss is 0.768497, is decreasing!! save moddel
epoch:7146/50000,train loss:0.79170717,train accuracy:61.285519%,valid loss:0.76848652,valid accuracy:63.406578%
loss is 0.768487, is decreasing!! save moddel
epoch:7147/50000,train loss:0.79169404,train accuracy:61.286333%,valid loss:0.76847506,valid accuracy:63.407224%
loss is 0.768475, is decreasing!! save moddel
epoch:7148/50000,train loss:0.79168074,train accuracy:61.287171%,valid loss:0.76846423,valid accuracy:63.407973%
loss is 0.768464, is decreasing!! save moddel
epoch:7149/50000,train loss:0.79166941,train accuracy:61.287834%,valid loss:0.76845411,valid accuracy:63.408847%
loss is 0.768454, is decreasing!! save moddel
epoch:7150/50000,train loss:0.79165999,train accuracy:61.288200%,valid loss:0.76844532,valid accuracy:63.409132%
loss is 0.768445, is decreasing!! save moddel
epoch:7151/50000,train loss:0.79164878,train accuracy:61.288674%,valid loss:0.76843669,valid accuracy:63.409433%
loss is 0.768437, is decreasing!! save moddel
epoch:7152/50000,train loss:0.79163935,train accuracy:61.289133%,valid loss:0.76843768,valid accuracy:63.409537%
epoch:7153/50000,train loss:0.79163099,train accuracy:61.289239%,valid loss:0.76842964,valid accuracy:63.409854%
loss is 0.768430, is decreasing!! save moddel
epoch:7154/50000,train loss:0.79161968,train accuracy:61.289796%,valid loss:0.76842162,valid accuracy:63.410165%
loss is 0.768422, is decreasing!! save moddel
epoch:7155/50000,train loss:0.79161404,train accuracy:61.289895%,valid loss:0.76841474,valid accuracy:63.410586%
loss is 0.768415, is decreasing!! save moddel
epoch:7156/50000,train loss:0.79160414,train accuracy:61.290468%,valid loss:0.76841013,valid accuracy:63.410913%
loss is 0.768410, is decreasing!! save moddel
epoch:7157/50000,train loss:0.79159654,train accuracy:61.290846%,valid loss:0.76840442,valid accuracy:63.411088%
loss is 0.768404, is decreasing!! save moddel
epoch:7158/50000,train loss:0.79158837,train accuracy:61.291040%,valid loss:0.76840020,valid accuracy:63.411290%
loss is 0.768400, is decreasing!! save moddel
epoch:7159/50000,train loss:0.79158056,train accuracy:61.291327%,valid loss:0.76839383,valid accuracy:63.411460%
loss is 0.768394, is decreasing!! save moddel
epoch:7160/50000,train loss:0.79156880,train accuracy:61.292022%,valid loss:0.76838350,valid accuracy:63.411640%
loss is 0.768383, is decreasing!! save moddel
epoch:7161/50000,train loss:0.79155953,train accuracy:61.292198%,valid loss:0.76838301,valid accuracy:63.411815%
loss is 0.768383, is decreasing!! save moddel
epoch:7162/50000,train loss:0.79154957,train accuracy:61.292710%,valid loss:0.76837438,valid accuracy:63.412333%
loss is 0.768374, is decreasing!! save moddel
epoch:7163/50000,train loss:0.79154057,train accuracy:61.293194%,valid loss:0.76836506,valid accuracy:63.412747%
loss is 0.768365, is decreasing!! save moddel
epoch:7164/50000,train loss:0.79152831,train accuracy:61.293823%,valid loss:0.76835722,valid accuracy:63.413156%
loss is 0.768357, is decreasing!! save moddel
epoch:7165/50000,train loss:0.79151652,train accuracy:61.294483%,valid loss:0.76835769,valid accuracy:63.413347%
epoch:7166/50000,train loss:0.79150995,train accuracy:61.294995%,valid loss:0.76835660,valid accuracy:63.413630%
loss is 0.768357, is decreasing!! save moddel
epoch:7167/50000,train loss:0.79150348,train accuracy:61.295090%,valid loss:0.76834915,valid accuracy:63.413483%
loss is 0.768349, is decreasing!! save moddel
epoch:7168/50000,train loss:0.79149291,train accuracy:61.295541%,valid loss:0.76834018,valid accuracy:63.414267%
loss is 0.768340, is decreasing!! save moddel
epoch:7169/50000,train loss:0.79147898,train accuracy:61.296656%,valid loss:0.76832907,valid accuracy:63.415247%
loss is 0.768329, is decreasing!! save moddel
epoch:7170/50000,train loss:0.79146518,train accuracy:61.297664%,valid loss:0.76831875,valid accuracy:63.415796%
loss is 0.768319, is decreasing!! save moddel
epoch:7171/50000,train loss:0.79145303,train accuracy:61.298404%,valid loss:0.76830967,valid accuracy:63.416438%
loss is 0.768310, is decreasing!! save moddel
epoch:7172/50000,train loss:0.79143991,train accuracy:61.299213%,valid loss:0.76829929,valid accuracy:63.417064%
loss is 0.768299, is decreasing!! save moddel
epoch:7173/50000,train loss:0.79142587,train accuracy:61.299902%,valid loss:0.76828804,valid accuracy:63.418032%
loss is 0.768288, is decreasing!! save moddel
epoch:7174/50000,train loss:0.79141271,train accuracy:61.300918%,valid loss:0.76827682,valid accuracy:63.418897%
loss is 0.768277, is decreasing!! save moddel
epoch:7175/50000,train loss:0.79139851,train accuracy:61.301805%,valid loss:0.76826912,valid accuracy:63.419429%
loss is 0.768269, is decreasing!! save moddel
epoch:7176/50000,train loss:0.79138896,train accuracy:61.302646%,valid loss:0.76825830,valid accuracy:63.419961%
loss is 0.768258, is decreasing!! save moddel
epoch:7177/50000,train loss:0.79137746,train accuracy:61.303302%,valid loss:0.76824666,valid accuracy:63.420395%
loss is 0.768247, is decreasing!! save moddel
epoch:7178/50000,train loss:0.79136757,train accuracy:61.303953%,valid loss:0.76824284,valid accuracy:63.420688%
loss is 0.768243, is decreasing!! save moddel
epoch:7179/50000,train loss:0.79136033,train accuracy:61.304111%,valid loss:0.76823222,valid accuracy:63.421111%
loss is 0.768232, is decreasing!! save moddel
epoch:7180/50000,train loss:0.79134956,train accuracy:61.304832%,valid loss:0.76822302,valid accuracy:63.421632%
loss is 0.768223, is decreasing!! save moddel
epoch:7181/50000,train loss:0.79134787,train accuracy:61.304790%,valid loss:0.76821288,valid accuracy:63.422153%
loss is 0.768213, is decreasing!! save moddel
epoch:7182/50000,train loss:0.79133622,train accuracy:61.305420%,valid loss:0.76820638,valid accuracy:63.422570%
loss is 0.768206, is decreasing!! save moddel
epoch:7183/50000,train loss:0.79132689,train accuracy:61.306067%,valid loss:0.76819887,valid accuracy:63.422862%
loss is 0.768199, is decreasing!! save moddel
epoch:7184/50000,train loss:0.79131644,train accuracy:61.306834%,valid loss:0.76819258,valid accuracy:63.423160%
loss is 0.768193, is decreasing!! save moddel
epoch:7185/50000,train loss:0.79130911,train accuracy:61.306861%,valid loss:0.76818593,valid accuracy:63.423473%
loss is 0.768186, is decreasing!! save moddel
epoch:7186/50000,train loss:0.79130083,train accuracy:61.307407%,valid loss:0.76817828,valid accuracy:63.423988%
loss is 0.768178, is decreasing!! save moddel
epoch:7187/50000,train loss:0.79129092,train accuracy:61.308000%,valid loss:0.76817348,valid accuracy:63.424275%
loss is 0.768173, is decreasing!! save moddel
epoch:7188/50000,train loss:0.79128385,train accuracy:61.308429%,valid loss:0.76817066,valid accuracy:63.424333%
loss is 0.768171, is decreasing!! save moddel
epoch:7189/50000,train loss:0.79127774,train accuracy:61.308580%,valid loss:0.76817467,valid accuracy:63.424288%
epoch:7190/50000,train loss:0.79127424,train accuracy:61.308621%,valid loss:0.76817425,valid accuracy:63.424243%
epoch:7191/50000,train loss:0.79126735,train accuracy:61.308999%,valid loss:0.76817254,valid accuracy:63.424329%
epoch:7192/50000,train loss:0.79126200,train accuracy:61.309095%,valid loss:0.76817090,valid accuracy:63.424408%
epoch:7193/50000,train loss:0.79125752,train accuracy:61.309346%,valid loss:0.76816857,valid accuracy:63.424478%
loss is 0.768169, is decreasing!! save moddel
epoch:7194/50000,train loss:0.79125048,train accuracy:61.309732%,valid loss:0.76817210,valid accuracy:63.424579%
epoch:7195/50000,train loss:0.79124994,train accuracy:61.309724%,valid loss:0.76816989,valid accuracy:63.423882%
epoch:7196/50000,train loss:0.79125025,train accuracy:61.309489%,valid loss:0.76816301,valid accuracy:63.424190%
loss is 0.768163, is decreasing!! save moddel
epoch:7197/50000,train loss:0.79124060,train accuracy:61.309807%,valid loss:0.76815634,valid accuracy:63.424498%
loss is 0.768156, is decreasing!! save moddel
epoch:7198/50000,train loss:0.79123762,train accuracy:61.309964%,valid loss:0.76815047,valid accuracy:63.425228%
loss is 0.768150, is decreasing!! save moddel
epoch:7199/50000,train loss:0.79122973,train accuracy:61.310690%,valid loss:0.76814386,valid accuracy:63.425639%
loss is 0.768144, is decreasing!! save moddel
epoch:7200/50000,train loss:0.79122218,train accuracy:61.311230%,valid loss:0.76813882,valid accuracy:63.426033%
loss is 0.768139, is decreasing!! save moddel
epoch:7201/50000,train loss:0.79121664,train accuracy:61.311644%,valid loss:0.76813170,valid accuracy:63.426698%
loss is 0.768132, is decreasing!! save moddel
epoch:7202/50000,train loss:0.79120765,train accuracy:61.312242%,valid loss:0.76812575,valid accuracy:63.427195%
loss is 0.768126, is decreasing!! save moddel
epoch:7203/50000,train loss:0.79119856,train accuracy:61.312894%,valid loss:0.76812014,valid accuracy:63.427817%
loss is 0.768120, is decreasing!! save moddel
epoch:7204/50000,train loss:0.79119061,train accuracy:61.313337%,valid loss:0.76811551,valid accuracy:63.428459%
loss is 0.768116, is decreasing!! save moddel
epoch:7205/50000,train loss:0.79119309,train accuracy:61.313120%,valid loss:0.76810902,valid accuracy:63.429096%
loss is 0.768109, is decreasing!! save moddel
epoch:7206/50000,train loss:0.79118543,train accuracy:61.313880%,valid loss:0.76810493,valid accuracy:63.429739%
loss is 0.768105, is decreasing!! save moddel
epoch:7207/50000,train loss:0.79118019,train accuracy:61.314130%,valid loss:0.76810321,valid accuracy:63.429823%
loss is 0.768103, is decreasing!! save moddel
epoch:7208/50000,train loss:0.79117190,train accuracy:61.314687%,valid loss:0.76809922,valid accuracy:63.430433%
loss is 0.768099, is decreasing!! save moddel
epoch:7209/50000,train loss:0.79117183,train accuracy:61.314708%,valid loss:0.76809788,valid accuracy:63.429753%
loss is 0.768098, is decreasing!! save moddel
epoch:7210/50000,train loss:0.79116647,train accuracy:61.315052%,valid loss:0.76809398,valid accuracy:63.429378%
loss is 0.768094, is decreasing!! save moddel
epoch:7211/50000,train loss:0.79115819,train accuracy:61.315757%,valid loss:0.76808774,valid accuracy:63.430133%
loss is 0.768088, is decreasing!! save moddel
epoch:7212/50000,train loss:0.79116041,train accuracy:61.315214%,valid loss:0.76808054,valid accuracy:63.430672%
loss is 0.768081, is decreasing!! save moddel
epoch:7213/50000,train loss:0.79115194,train accuracy:61.315569%,valid loss:0.76807428,valid accuracy:63.431525%
loss is 0.768074, is decreasing!! save moddel
epoch:7214/50000,train loss:0.79114145,train accuracy:61.316161%,valid loss:0.76806765,valid accuracy:63.432155%
loss is 0.768068, is decreasing!! save moddel
epoch:7215/50000,train loss:0.79113244,train accuracy:61.316703%,valid loss:0.76806297,valid accuracy:63.432683%
loss is 0.768063, is decreasing!! save moddel
epoch:7216/50000,train loss:0.79112211,train accuracy:61.317202%,valid loss:0.76805930,valid accuracy:63.432962%
loss is 0.768059, is decreasing!! save moddel
epoch:7217/50000,train loss:0.79111823,train accuracy:61.317500%,valid loss:0.76805882,valid accuracy:63.433051%
loss is 0.768059, is decreasing!! save moddel
epoch:7218/50000,train loss:0.79110928,train accuracy:61.317944%,valid loss:0.76805449,valid accuracy:63.433686%
loss is 0.768054, is decreasing!! save moddel
epoch:7219/50000,train loss:0.79110252,train accuracy:61.318514%,valid loss:0.76805136,valid accuracy:63.433629%
loss is 0.768051, is decreasing!! save moddel
epoch:7220/50000,train loss:0.79109645,train accuracy:61.318904%,valid loss:0.76805018,valid accuracy:63.433924%
loss is 0.768050, is decreasing!! save moddel
epoch:7221/50000,train loss:0.79109408,train accuracy:61.318569%,valid loss:0.76804321,valid accuracy:63.434369%
loss is 0.768043, is decreasing!! save moddel
epoch:7222/50000,train loss:0.79108871,train accuracy:61.318642%,valid loss:0.76804319,valid accuracy:63.434345%
loss is 0.768043, is decreasing!! save moddel
epoch:7223/50000,train loss:0.79108730,train accuracy:61.318310%,valid loss:0.76803767,valid accuracy:63.434639%
loss is 0.768038, is decreasing!! save moddel
epoch:7224/50000,train loss:0.79108042,train accuracy:61.318459%,valid loss:0.76803212,valid accuracy:63.435165%
loss is 0.768032, is decreasing!! save moddel
epoch:7225/50000,train loss:0.79107330,train accuracy:61.318999%,valid loss:0.76802936,valid accuracy:63.435481%
loss is 0.768029, is decreasing!! save moddel
epoch:7226/50000,train loss:0.79106758,train accuracy:61.319359%,valid loss:0.76802565,valid accuracy:63.435553%
loss is 0.768026, is decreasing!! save moddel
epoch:7227/50000,train loss:0.79105996,train accuracy:61.319885%,valid loss:0.76802135,valid accuracy:63.435863%
loss is 0.768021, is decreasing!! save moddel
epoch:7228/50000,train loss:0.79105495,train accuracy:61.320368%,valid loss:0.76802509,valid accuracy:63.435396%
epoch:7229/50000,train loss:0.79104720,train accuracy:61.320829%,valid loss:0.76802600,valid accuracy:63.435117%
epoch:7230/50000,train loss:0.79104251,train accuracy:61.320756%,valid loss:0.76801948,valid accuracy:63.435411%
loss is 0.768019, is decreasing!! save moddel
epoch:7231/50000,train loss:0.79103465,train accuracy:61.321192%,valid loss:0.76801398,valid accuracy:63.435721%
loss is 0.768014, is decreasing!! save moddel
epoch:7232/50000,train loss:0.79102725,train accuracy:61.321473%,valid loss:0.76800691,valid accuracy:63.436690%
loss is 0.768007, is decreasing!! save moddel
epoch:7233/50000,train loss:0.79101816,train accuracy:61.322160%,valid loss:0.76800454,valid accuracy:63.436757%
loss is 0.768005, is decreasing!! save moddel
epoch:7234/50000,train loss:0.79100873,train accuracy:61.322760%,valid loss:0.76799805,valid accuracy:63.436948%
loss is 0.767998, is decreasing!! save moddel
epoch:7235/50000,train loss:0.79100344,train accuracy:61.323195%,valid loss:0.76799293,valid accuracy:63.437247%
loss is 0.767993, is decreasing!! save moddel
epoch:7236/50000,train loss:0.79099580,train accuracy:61.323404%,valid loss:0.76798746,valid accuracy:63.437551%
loss is 0.767987, is decreasing!! save moddel
epoch:7237/50000,train loss:0.79099197,train accuracy:61.323274%,valid loss:0.76798419,valid accuracy:63.437196%
loss is 0.767984, is decreasing!! save moddel
epoch:7238/50000,train loss:0.79099335,train accuracy:61.322889%,valid loss:0.76797719,valid accuracy:63.437285%
loss is 0.767977, is decreasing!! save moddel
epoch:7239/50000,train loss:0.79098866,train accuracy:61.323101%,valid loss:0.76798151,valid accuracy:63.437152%
epoch:7240/50000,train loss:0.79098284,train accuracy:61.323104%,valid loss:0.76797706,valid accuracy:63.437440%
loss is 0.767977, is decreasing!! save moddel
epoch:7241/50000,train loss:0.79097656,train accuracy:61.323442%,valid loss:0.76797311,valid accuracy:63.437765%
loss is 0.767973, is decreasing!! save moddel
epoch:7242/50000,train loss:0.79097203,train accuracy:61.323603%,valid loss:0.76797133,valid accuracy:63.437842%
loss is 0.767971, is decreasing!! save moddel
epoch:7243/50000,train loss:0.79096610,train accuracy:61.323769%,valid loss:0.76796504,valid accuracy:63.437935%
loss is 0.767965, is decreasing!! save moddel
epoch:7244/50000,train loss:0.79095860,train accuracy:61.324239%,valid loss:0.76796692,valid accuracy:63.437684%
epoch:7245/50000,train loss:0.79095264,train accuracy:61.324594%,valid loss:0.76796232,valid accuracy:63.437977%
loss is 0.767962, is decreasing!! save moddel
epoch:7246/50000,train loss:0.79094634,train accuracy:61.325057%,valid loss:0.76795841,valid accuracy:63.438275%
loss is 0.767958, is decreasing!! save moddel
epoch:7247/50000,train loss:0.79094546,train accuracy:61.324974%,valid loss:0.76795575,valid accuracy:63.438594%
loss is 0.767956, is decreasing!! save moddel
epoch:7248/50000,train loss:0.79094177,train accuracy:61.325218%,valid loss:0.76795365,valid accuracy:63.438672%
loss is 0.767954, is decreasing!! save moddel
epoch:7249/50000,train loss:0.79093859,train accuracy:61.325397%,valid loss:0.76795119,valid accuracy:63.438744%
loss is 0.767951, is decreasing!! save moddel
epoch:7250/50000,train loss:0.79094216,train accuracy:61.324978%,valid loss:0.76794739,valid accuracy:63.438913%
loss is 0.767947, is decreasing!! save moddel
epoch:7251/50000,train loss:0.79093730,train accuracy:61.325052%,valid loss:0.76794359,valid accuracy:63.439421%
loss is 0.767944, is decreasing!! save moddel
epoch:7252/50000,train loss:0.79093251,train accuracy:61.325446%,valid loss:0.76793939,valid accuracy:63.439493%
loss is 0.767939, is decreasing!! save moddel
epoch:7253/50000,train loss:0.79092588,train accuracy:61.325988%,valid loss:0.76793697,valid accuracy:63.439806%
loss is 0.767937, is decreasing!! save moddel
epoch:7254/50000,train loss:0.79092087,train accuracy:61.326297%,valid loss:0.76793744,valid accuracy:63.439883%
epoch:7255/50000,train loss:0.79091730,train accuracy:61.326694%,valid loss:0.76793570,valid accuracy:63.440052%
loss is 0.767936, is decreasing!! save moddel
epoch:7256/50000,train loss:0.79091862,train accuracy:61.326597%,valid loss:0.76793977,valid accuracy:63.439924%
epoch:7257/50000,train loss:0.79091726,train accuracy:61.326761%,valid loss:0.76793601,valid accuracy:63.440232%
epoch:7258/50000,train loss:0.79091280,train accuracy:61.326979%,valid loss:0.76793383,valid accuracy:63.440519%
loss is 0.767934, is decreasing!! save moddel
epoch:7259/50000,train loss:0.79090713,train accuracy:61.327183%,valid loss:0.76792918,valid accuracy:63.440596%
loss is 0.767929, is decreasing!! save moddel
epoch:7260/50000,train loss:0.79090393,train accuracy:61.327348%,valid loss:0.76792292,valid accuracy:63.440694%
loss is 0.767923, is decreasing!! save moddel
epoch:7261/50000,train loss:0.79089662,train accuracy:61.327752%,valid loss:0.76791695,valid accuracy:63.440663%
loss is 0.767917, is decreasing!! save moddel
epoch:7262/50000,train loss:0.79089056,train accuracy:61.328003%,valid loss:0.76791148,valid accuracy:63.440606%
loss is 0.767911, is decreasing!! save moddel
epoch:7263/50000,train loss:0.79088759,train accuracy:61.328171%,valid loss:0.76790791,valid accuracy:63.440586%
loss is 0.767908, is decreasing!! save moddel
epoch:7264/50000,train loss:0.79088874,train accuracy:61.327787%,valid loss:0.76790669,valid accuracy:63.440560%
loss is 0.767907, is decreasing!! save moddel
epoch:7265/50000,train loss:0.79088173,train accuracy:61.328215%,valid loss:0.76790268,valid accuracy:63.440616%
loss is 0.767903, is decreasing!! save moddel
epoch:7266/50000,train loss:0.79087667,train accuracy:61.328476%,valid loss:0.76790175,valid accuracy:63.440247%
loss is 0.767902, is decreasing!! save moddel
epoch:7267/50000,train loss:0.79087179,train accuracy:61.328888%,valid loss:0.76790468,valid accuracy:63.439975%
epoch:7268/50000,train loss:0.79086685,train accuracy:61.328966%,valid loss:0.76790012,valid accuracy:63.440052%
loss is 0.767900, is decreasing!! save moddel
epoch:7269/50000,train loss:0.79086220,train accuracy:61.329259%,valid loss:0.76791347,valid accuracy:63.438909%
epoch:7270/50000,train loss:0.79086062,train accuracy:61.329136%,valid loss:0.76790762,valid accuracy:63.439340%
epoch:7271/50000,train loss:0.79085395,train accuracy:61.329654%,valid loss:0.76790799,valid accuracy:63.439627%
epoch:7272/50000,train loss:0.79084987,train accuracy:61.330146%,valid loss:0.76790313,valid accuracy:63.439822%
epoch:7273/50000,train loss:0.79084333,train accuracy:61.330599%,valid loss:0.76789701,valid accuracy:63.440231%
loss is 0.767897, is decreasing!! save moddel
epoch:7274/50000,train loss:0.79084232,train accuracy:61.330745%,valid loss:0.76789041,valid accuracy:63.440554%
loss is 0.767890, is decreasing!! save moddel
epoch:7275/50000,train loss:0.79084326,train accuracy:61.330745%,valid loss:0.76788494,valid accuracy:63.440636%
loss is 0.767885, is decreasing!! save moddel
epoch:7276/50000,train loss:0.79084204,train accuracy:61.330708%,valid loss:0.76788202,valid accuracy:63.440820%
loss is 0.767882, is decreasing!! save moddel
epoch:7277/50000,train loss:0.79083749,train accuracy:61.331171%,valid loss:0.76787708,valid accuracy:63.440994%
loss is 0.767877, is decreasing!! save moddel
epoch:7278/50000,train loss:0.79083546,train accuracy:61.331206%,valid loss:0.76787731,valid accuracy:63.441172%
epoch:7279/50000,train loss:0.79083475,train accuracy:61.331140%,valid loss:0.76787533,valid accuracy:63.442000%
loss is 0.767875, is decreasing!! save moddel
epoch:7280/50000,train loss:0.79083453,train accuracy:61.331263%,valid loss:0.76787331,valid accuracy:63.441878%
loss is 0.767873, is decreasing!! save moddel
epoch:7281/50000,train loss:0.79083293,train accuracy:61.331440%,valid loss:0.76786948,valid accuracy:63.441975%
loss is 0.767869, is decreasing!! save moddel
epoch:7282/50000,train loss:0.79083148,train accuracy:61.331864%,valid loss:0.76786741,valid accuracy:63.442287%
loss is 0.767867, is decreasing!! save moddel
epoch:7283/50000,train loss:0.79083171,train accuracy:61.331945%,valid loss:0.76786491,valid accuracy:63.442482%
loss is 0.767865, is decreasing!! save moddel
epoch:7284/50000,train loss:0.79083021,train accuracy:61.332154%,valid loss:0.76786052,valid accuracy:63.443442%
loss is 0.767861, is decreasing!! save moddel
epoch:7285/50000,train loss:0.79082812,train accuracy:61.332602%,valid loss:0.76785740,valid accuracy:63.444290%
loss is 0.767857, is decreasing!! save moddel
epoch:7286/50000,train loss:0.79082299,train accuracy:61.332908%,valid loss:0.76785611,valid accuracy:63.444677%
loss is 0.767856, is decreasing!! save moddel
epoch:7287/50000,train loss:0.79082140,train accuracy:61.332992%,valid loss:0.76785194,valid accuracy:63.445279%
loss is 0.767852, is decreasing!! save moddel
epoch:7288/50000,train loss:0.79081668,train accuracy:61.333334%,valid loss:0.76784773,valid accuracy:63.446019%
loss is 0.767848, is decreasing!! save moddel
epoch:7289/50000,train loss:0.79081321,train accuracy:61.333404%,valid loss:0.76784242,valid accuracy:63.446764%
loss is 0.767842, is decreasing!! save moddel
epoch:7290/50000,train loss:0.79080702,train accuracy:61.333852%,valid loss:0.76784677,valid accuracy:63.446471%
epoch:7291/50000,train loss:0.79080150,train accuracy:61.334587%,valid loss:0.76785863,valid accuracy:63.445770%
epoch:7292/50000,train loss:0.79079697,train accuracy:61.334903%,valid loss:0.76785343,valid accuracy:63.446402%
epoch:7293/50000,train loss:0.79079258,train accuracy:61.335237%,valid loss:0.76785021,valid accuracy:63.446703%
epoch:7294/50000,train loss:0.79078771,train accuracy:61.335691%,valid loss:0.76784803,valid accuracy:63.446987%
epoch:7295/50000,train loss:0.79078584,train accuracy:61.335625%,valid loss:0.76784436,valid accuracy:63.447175%
epoch:7296/50000,train loss:0.79078133,train accuracy:61.336083%,valid loss:0.76783601,valid accuracy:63.448011%
loss is 0.767836, is decreasing!! save moddel
epoch:7297/50000,train loss:0.79077322,train accuracy:61.336756%,valid loss:0.76783306,valid accuracy:63.448204%
loss is 0.767833, is decreasing!! save moddel
epoch:7298/50000,train loss:0.79076491,train accuracy:61.337385%,valid loss:0.76782454,valid accuracy:63.448943%
loss is 0.767825, is decreasing!! save moddel
epoch:7299/50000,train loss:0.79075584,train accuracy:61.338242%,valid loss:0.76782919,valid accuracy:63.448595%
epoch:7300/50000,train loss:0.79074799,train accuracy:61.338767%,valid loss:0.76782219,valid accuracy:63.448793%
loss is 0.767822, is decreasing!! save moddel
epoch:7301/50000,train loss:0.79073846,train accuracy:61.339381%,valid loss:0.76781165,valid accuracy:63.449419%
loss is 0.767812, is decreasing!! save moddel
epoch:7302/50000,train loss:0.79072790,train accuracy:61.340176%,valid loss:0.76780180,valid accuracy:63.450029%
loss is 0.767802, is decreasing!! save moddel
epoch:7303/50000,train loss:0.79071892,train accuracy:61.340559%,valid loss:0.76778957,valid accuracy:63.451323%
loss is 0.767790, is decreasing!! save moddel
epoch:7304/50000,train loss:0.79071331,train accuracy:61.340702%,valid loss:0.76778849,valid accuracy:63.451291%
loss is 0.767788, is decreasing!! save moddel
epoch:7305/50000,train loss:0.79070678,train accuracy:61.341334%,valid loss:0.76779249,valid accuracy:63.450928%
epoch:7306/50000,train loss:0.79069783,train accuracy:61.341962%,valid loss:0.76778904,valid accuracy:63.450906%
epoch:7307/50000,train loss:0.79069382,train accuracy:61.342016%,valid loss:0.76778145,valid accuracy:63.451119%
loss is 0.767781, is decreasing!! save moddel
epoch:7308/50000,train loss:0.79068252,train accuracy:61.342907%,valid loss:0.76777084,valid accuracy:63.452845%
loss is 0.767771, is decreasing!! save moddel
epoch:7309/50000,train loss:0.79067488,train accuracy:61.343434%,valid loss:0.76776254,valid accuracy:63.453032%
loss is 0.767763, is decreasing!! save moddel
epoch:7310/50000,train loss:0.79066466,train accuracy:61.343894%,valid loss:0.76775416,valid accuracy:63.453197%
loss is 0.767754, is decreasing!! save moddel
epoch:7311/50000,train loss:0.79065530,train accuracy:61.344522%,valid loss:0.76774311,valid accuracy:63.454687%
loss is 0.767743, is decreasing!! save moddel
epoch:7312/50000,train loss:0.79064514,train accuracy:61.345020%,valid loss:0.76773236,valid accuracy:63.455968%
loss is 0.767732, is decreasing!! save moddel
epoch:7313/50000,train loss:0.79063818,train accuracy:61.345236%,valid loss:0.76772477,valid accuracy:63.456149%
loss is 0.767725, is decreasing!! save moddel
epoch:7314/50000,train loss:0.79062879,train accuracy:61.345940%,valid loss:0.76771556,valid accuracy:63.456773%
loss is 0.767716, is decreasing!! save moddel
epoch:7315/50000,train loss:0.79061742,train accuracy:61.346616%,valid loss:0.76770434,valid accuracy:63.458043%
loss is 0.767704, is decreasing!! save moddel
epoch:7316/50000,train loss:0.79060523,train accuracy:61.347691%,valid loss:0.76769260,valid accuracy:63.459206%
loss is 0.767693, is decreasing!! save moddel
epoch:7317/50000,train loss:0.79059401,train accuracy:61.348499%,valid loss:0.76768181,valid accuracy:63.459829%
loss is 0.767682, is decreasing!! save moddel
epoch:7318/50000,train loss:0.79058396,train accuracy:61.349264%,valid loss:0.76767447,valid accuracy:63.459902%
loss is 0.767674, is decreasing!! save moddel
epoch:7319/50000,train loss:0.79057284,train accuracy:61.349890%,valid loss:0.76766461,valid accuracy:63.461283%
loss is 0.767665, is decreasing!! save moddel
epoch:7320/50000,train loss:0.79056698,train accuracy:61.350287%,valid loss:0.76765566,valid accuracy:63.461239%
loss is 0.767656, is decreasing!! save moddel
epoch:7321/50000,train loss:0.79055601,train accuracy:61.350926%,valid loss:0.76764958,valid accuracy:63.461083%
loss is 0.767650, is decreasing!! save moddel
epoch:7322/50000,train loss:0.79054884,train accuracy:61.351419%,valid loss:0.76764583,valid accuracy:63.460917%
loss is 0.767646, is decreasing!! save moddel
epoch:7323/50000,train loss:0.79054343,train accuracy:61.351820%,valid loss:0.76763827,valid accuracy:63.460980%
loss is 0.767638, is decreasing!! save moddel
epoch:7324/50000,train loss:0.79053684,train accuracy:61.352278%,valid loss:0.76762930,valid accuracy:63.461379%
loss is 0.767629, is decreasing!! save moddel
epoch:7325/50000,train loss:0.79052753,train accuracy:61.352665%,valid loss:0.76761983,valid accuracy:63.462662%
loss is 0.767620, is decreasing!! save moddel
epoch:7326/50000,train loss:0.79051502,train accuracy:61.353236%,valid loss:0.76761152,valid accuracy:63.463289%
loss is 0.767612, is decreasing!! save moddel
epoch:7327/50000,train loss:0.79050923,train accuracy:61.353658%,valid loss:0.76760589,valid accuracy:63.463229%
loss is 0.767606, is decreasing!! save moddel
epoch:7328/50000,train loss:0.79049880,train accuracy:61.354261%,valid loss:0.76759791,valid accuracy:63.464277%
loss is 0.767598, is decreasing!! save moddel
epoch:7329/50000,train loss:0.79049458,train accuracy:61.354459%,valid loss:0.76759098,valid accuracy:63.464249%
loss is 0.767591, is decreasing!! save moddel
epoch:7330/50000,train loss:0.79048316,train accuracy:61.355368%,valid loss:0.76758811,valid accuracy:63.464114%
loss is 0.767588, is decreasing!! save moddel
epoch:7331/50000,train loss:0.79047292,train accuracy:61.356155%,valid loss:0.76759455,valid accuracy:63.463750%
epoch:7332/50000,train loss:0.79046320,train accuracy:61.356863%,valid loss:0.76758954,valid accuracy:63.463722%
epoch:7333/50000,train loss:0.79045127,train accuracy:61.357631%,valid loss:0.76757927,valid accuracy:63.464114%
loss is 0.767579, is decreasing!! save moddel
epoch:7334/50000,train loss:0.79044451,train accuracy:61.358028%,valid loss:0.76757139,valid accuracy:63.464974%
loss is 0.767571, is decreasing!! save moddel
epoch:7335/50000,train loss:0.79043382,train accuracy:61.358676%,valid loss:0.76756309,valid accuracy:63.466122%
loss is 0.767563, is decreasing!! save moddel
epoch:7336/50000,train loss:0.79042562,train accuracy:61.359291%,valid loss:0.76755379,valid accuracy:63.466408%
loss is 0.767554, is decreasing!! save moddel
epoch:7337/50000,train loss:0.79041444,train accuracy:61.360081%,valid loss:0.76754612,valid accuracy:63.466268%
loss is 0.767546, is decreasing!! save moddel
epoch:7338/50000,train loss:0.79040137,train accuracy:61.360941%,valid loss:0.76753661,valid accuracy:63.466563%
loss is 0.767537, is decreasing!! save moddel
epoch:7339/50000,train loss:0.79039278,train accuracy:61.361411%,valid loss:0.76753855,valid accuracy:63.466109%
epoch:7340/50000,train loss:0.79038370,train accuracy:61.361856%,valid loss:0.76752722,valid accuracy:63.466633%
loss is 0.767527, is decreasing!! save moddel
epoch:7341/50000,train loss:0.79037311,train accuracy:61.362343%,valid loss:0.76751610,valid accuracy:63.467806%
loss is 0.767516, is decreasing!! save moddel
epoch:7342/50000,train loss:0.79036968,train accuracy:61.362727%,valid loss:0.76750997,valid accuracy:63.467863%
loss is 0.767510, is decreasing!! save moddel
epoch:7343/50000,train loss:0.79035729,train accuracy:61.363416%,valid loss:0.76749982,valid accuracy:63.468807%
loss is 0.767500, is decreasing!! save moddel
epoch:7344/50000,train loss:0.79034784,train accuracy:61.363998%,valid loss:0.76749045,valid accuracy:63.469103%
loss is 0.767490, is decreasing!! save moddel
epoch:7345/50000,train loss:0.79033474,train accuracy:61.364673%,valid loss:0.76747929,valid accuracy:63.470142%
loss is 0.767479, is decreasing!! save moddel
epoch:7346/50000,train loss:0.79032481,train accuracy:61.365086%,valid loss:0.76746957,valid accuracy:63.470538%
loss is 0.767470, is decreasing!! save moddel
epoch:7347/50000,train loss:0.79031375,train accuracy:61.365576%,valid loss:0.76745901,valid accuracy:63.471056%
loss is 0.767459, is decreasing!! save moddel
epoch:7348/50000,train loss:0.79030115,train accuracy:61.366410%,valid loss:0.76745851,valid accuracy:63.470895%
loss is 0.767459, is decreasing!! save moddel
epoch:7349/50000,train loss:0.79028827,train accuracy:61.367470%,valid loss:0.76744767,valid accuracy:63.471594%
loss is 0.767448, is decreasing!! save moddel
epoch:7350/50000,train loss:0.79027634,train accuracy:61.368215%,valid loss:0.76743906,valid accuracy:63.471761%
loss is 0.767439, is decreasing!! save moddel
epoch:7351/50000,train loss:0.79026389,train accuracy:61.368766%,valid loss:0.76742830,valid accuracy:63.472720%
loss is 0.767428, is decreasing!! save moddel
epoch:7352/50000,train loss:0.79025136,train accuracy:61.369409%,valid loss:0.76741885,valid accuracy:63.472998%
loss is 0.767419, is decreasing!! save moddel
epoch:7353/50000,train loss:0.79025123,train accuracy:61.369225%,valid loss:0.76741208,valid accuracy:63.473298%
loss is 0.767412, is decreasing!! save moddel
epoch:7354/50000,train loss:0.79024096,train accuracy:61.369997%,valid loss:0.76739973,valid accuracy:63.474351%
loss is 0.767400, is decreasing!! save moddel
epoch:7355/50000,train loss:0.79022984,train accuracy:61.370704%,valid loss:0.76738778,valid accuracy:63.475394%
loss is 0.767388, is decreasing!! save moddel
epoch:7356/50000,train loss:0.79022118,train accuracy:61.371440%,valid loss:0.76737595,valid accuracy:63.476012%
loss is 0.767376, is decreasing!! save moddel
epoch:7357/50000,train loss:0.79020825,train accuracy:61.372339%,valid loss:0.76736535,valid accuracy:63.476943%
loss is 0.767365, is decreasing!! save moddel
epoch:7358/50000,train loss:0.79019724,train accuracy:61.373064%,valid loss:0.76735500,valid accuracy:63.477889%
loss is 0.767355, is decreasing!! save moddel
epoch:7359/50000,train loss:0.79018532,train accuracy:61.374023%,valid loss:0.76734705,valid accuracy:63.477854%
loss is 0.767347, is decreasing!! save moddel
epoch:7360/50000,train loss:0.79017340,train accuracy:61.374692%,valid loss:0.76733580,valid accuracy:63.478450%
loss is 0.767336, is decreasing!! save moddel
epoch:7361/50000,train loss:0.79016139,train accuracy:61.375353%,valid loss:0.76733782,valid accuracy:63.478112%
epoch:7362/50000,train loss:0.79015060,train accuracy:61.376024%,valid loss:0.76732681,valid accuracy:63.478941%
loss is 0.767327, is decreasing!! save moddel
epoch:7363/50000,train loss:0.79014035,train accuracy:61.377003%,valid loss:0.76732118,valid accuracy:63.479330%
loss is 0.767321, is decreasing!! save moddel
epoch:7364/50000,train loss:0.79012842,train accuracy:61.377642%,valid loss:0.76730956,valid accuracy:63.479967%
loss is 0.767310, is decreasing!! save moddel
epoch:7365/50000,train loss:0.79012192,train accuracy:61.378094%,valid loss:0.76730670,valid accuracy:63.480032%
loss is 0.767307, is decreasing!! save moddel
epoch:7366/50000,train loss:0.79011685,train accuracy:61.378259%,valid loss:0.76731190,valid accuracy:63.479790%
epoch:7367/50000,train loss:0.79012122,train accuracy:61.377594%,valid loss:0.76730316,valid accuracy:63.480527%
loss is 0.767303, is decreasing!! save moddel
epoch:7368/50000,train loss:0.79011382,train accuracy:61.378031%,valid loss:0.76729513,valid accuracy:63.480825%
loss is 0.767295, is decreasing!! save moddel
epoch:7369/50000,train loss:0.79010096,train accuracy:61.378758%,valid loss:0.76728906,valid accuracy:63.481028%
loss is 0.767289, is decreasing!! save moddel
epoch:7370/50000,train loss:0.79008710,train accuracy:61.379495%,valid loss:0.76727986,valid accuracy:63.481744%
loss is 0.767280, is decreasing!! save moddel
epoch:7371/50000,train loss:0.79007511,train accuracy:61.380279%,valid loss:0.76728885,valid accuracy:63.481592%
epoch:7372/50000,train loss:0.79006361,train accuracy:61.381189%,valid loss:0.76727898,valid accuracy:63.482091%
loss is 0.767279, is decreasing!! save moddel
epoch:7373/50000,train loss:0.79004971,train accuracy:61.382099%,valid loss:0.76727322,valid accuracy:63.482251%
loss is 0.767273, is decreasing!! save moddel
epoch:7374/50000,train loss:0.79003520,train accuracy:61.383171%,valid loss:0.76726305,valid accuracy:63.482776%
loss is 0.767263, is decreasing!! save moddel
epoch:7375/50000,train loss:0.79002154,train accuracy:61.384158%,valid loss:0.76725616,valid accuracy:63.483058%
loss is 0.767256, is decreasing!! save moddel
epoch:7376/50000,train loss:0.79001270,train accuracy:61.384729%,valid loss:0.76724629,valid accuracy:63.484012%
loss is 0.767246, is decreasing!! save moddel
epoch:7377/50000,train loss:0.78999944,train accuracy:61.385684%,valid loss:0.76723636,valid accuracy:63.484552%
loss is 0.767236, is decreasing!! save moddel
epoch:7378/50000,train loss:0.78998643,train accuracy:61.386639%,valid loss:0.76722824,valid accuracy:63.484844%
loss is 0.767228, is decreasing!! save moddel
epoch:7379/50000,train loss:0.78997242,train accuracy:61.387519%,valid loss:0.76721708,valid accuracy:63.485665%
loss is 0.767217, is decreasing!! save moddel
epoch:7380/50000,train loss:0.78995870,train accuracy:61.388536%,valid loss:0.76720722,valid accuracy:63.486173%
loss is 0.767207, is decreasing!! save moddel
epoch:7381/50000,train loss:0.78994657,train accuracy:61.389448%,valid loss:0.76719735,valid accuracy:63.487121%
loss is 0.767197, is decreasing!! save moddel
epoch:7382/50000,train loss:0.78993445,train accuracy:61.390204%,valid loss:0.76718873,valid accuracy:63.487957%
loss is 0.767189, is decreasing!! save moddel
epoch:7383/50000,train loss:0.78992368,train accuracy:61.391192%,valid loss:0.76717825,valid accuracy:63.488803%
loss is 0.767178, is decreasing!! save moddel
epoch:7384/50000,train loss:0.78991222,train accuracy:61.392011%,valid loss:0.76716850,valid accuracy:63.489617%
loss is 0.767169, is decreasing!! save moddel
epoch:7385/50000,train loss:0.78990044,train accuracy:61.393020%,valid loss:0.76715857,valid accuracy:63.490432%
loss is 0.767159, is decreasing!! save moddel
epoch:7386/50000,train loss:0.78988817,train accuracy:61.393913%,valid loss:0.76715251,valid accuracy:63.490395%
loss is 0.767153, is decreasing!! save moddel
epoch:7387/50000,train loss:0.78987870,train accuracy:61.394580%,valid loss:0.76714260,valid accuracy:63.491103%
loss is 0.767143, is decreasing!! save moddel
epoch:7388/50000,train loss:0.78986409,train accuracy:61.395680%,valid loss:0.76713172,valid accuracy:63.491832%
loss is 0.767132, is decreasing!! save moddel
epoch:7389/50000,train loss:0.78985273,train accuracy:61.396512%,valid loss:0.76711997,valid accuracy:63.492995%
loss is 0.767120, is decreasing!! save moddel
epoch:7390/50000,train loss:0.78984333,train accuracy:61.396963%,valid loss:0.76711580,valid accuracy:63.492635%
loss is 0.767116, is decreasing!! save moddel
epoch:7391/50000,train loss:0.78983226,train accuracy:61.397711%,valid loss:0.76711018,valid accuracy:63.492915%
loss is 0.767110, is decreasing!! save moddel
epoch:7392/50000,train loss:0.78982011,train accuracy:61.398468%,valid loss:0.76710280,valid accuracy:63.493406%
loss is 0.767103, is decreasing!! save moddel
epoch:7393/50000,train loss:0.78980856,train accuracy:61.399418%,valid loss:0.76709030,valid accuracy:63.494583%
loss is 0.767090, is decreasing!! save moddel
epoch:7394/50000,train loss:0.78979637,train accuracy:61.400319%,valid loss:0.76708930,valid accuracy:63.494329%
loss is 0.767089, is decreasing!! save moddel
epoch:7395/50000,train loss:0.78978299,train accuracy:61.401093%,valid loss:0.76707921,valid accuracy:63.495590%
loss is 0.767079, is decreasing!! save moddel
epoch:7396/50000,train loss:0.78977095,train accuracy:61.402202%,valid loss:0.76706801,valid accuracy:63.496761%
loss is 0.767068, is decreasing!! save moddel
epoch:7397/50000,train loss:0.78975931,train accuracy:61.403188%,valid loss:0.76705749,valid accuracy:63.497177%
loss is 0.767057, is decreasing!! save moddel
epoch:7398/50000,train loss:0.78974847,train accuracy:61.403991%,valid loss:0.76704904,valid accuracy:63.498100%
loss is 0.767049, is decreasing!! save moddel
epoch:7399/50000,train loss:0.78973525,train accuracy:61.404828%,valid loss:0.76703945,valid accuracy:63.498489%
loss is 0.767039, is decreasing!! save moddel
epoch:7400/50000,train loss:0.78972182,train accuracy:61.405791%,valid loss:0.76703179,valid accuracy:63.498910%
loss is 0.767032, is decreasing!! save moddel
epoch:7401/50000,train loss:0.78971011,train accuracy:61.406388%,valid loss:0.76702329,valid accuracy:63.499294%
loss is 0.767023, is decreasing!! save moddel
epoch:7402/50000,train loss:0.78970276,train accuracy:61.406978%,valid loss:0.76701397,valid accuracy:63.500126%
loss is 0.767014, is decreasing!! save moddel
epoch:7403/50000,train loss:0.78969759,train accuracy:61.407508%,valid loss:0.76700827,valid accuracy:63.500409%
loss is 0.767008, is decreasing!! save moddel
epoch:7404/50000,train loss:0.78968603,train accuracy:61.408309%,valid loss:0.76700033,valid accuracy:63.501025%
loss is 0.767000, is decreasing!! save moddel
epoch:7405/50000,train loss:0.78967683,train accuracy:61.408842%,valid loss:0.76699649,valid accuracy:63.501097%
loss is 0.766996, is decreasing!! save moddel
epoch:7406/50000,train loss:0.78966715,train accuracy:61.409516%,valid loss:0.76698891,valid accuracy:63.501592%
loss is 0.766989, is decreasing!! save moddel
epoch:7407/50000,train loss:0.78965880,train accuracy:61.410099%,valid loss:0.76698464,valid accuracy:63.501754%
loss is 0.766985, is decreasing!! save moddel
epoch:7408/50000,train loss:0.78964774,train accuracy:61.411001%,valid loss:0.76697670,valid accuracy:63.502358%
loss is 0.766977, is decreasing!! save moddel
epoch:7409/50000,train loss:0.78964412,train accuracy:61.411491%,valid loss:0.76697437,valid accuracy:63.502294%
loss is 0.766974, is decreasing!! save moddel
epoch:7410/50000,train loss:0.78963317,train accuracy:61.412304%,valid loss:0.76696737,valid accuracy:63.502898%
loss is 0.766967, is decreasing!! save moddel
epoch:7411/50000,train loss:0.78962055,train accuracy:61.413208%,valid loss:0.76696925,valid accuracy:63.502423%
epoch:7412/50000,train loss:0.78961480,train accuracy:61.413449%,valid loss:0.76696172,valid accuracy:63.503359%
loss is 0.766962, is decreasing!! save moddel
epoch:7413/50000,train loss:0.78961118,train accuracy:61.413335%,valid loss:0.76695608,valid accuracy:63.503531%
loss is 0.766956, is decreasing!! save moddel
epoch:7414/50000,train loss:0.78960090,train accuracy:61.413941%,valid loss:0.76694891,valid accuracy:63.504114%
loss is 0.766949, is decreasing!! save moddel
epoch:7415/50000,train loss:0.78959068,train accuracy:61.414542%,valid loss:0.76694078,valid accuracy:63.504823%
loss is 0.766941, is decreasing!! save moddel
epoch:7416/50000,train loss:0.78958227,train accuracy:61.415070%,valid loss:0.76693914,valid accuracy:63.504584%
loss is 0.766939, is decreasing!! save moddel
epoch:7417/50000,train loss:0.78957579,train accuracy:61.415283%,valid loss:0.76693273,valid accuracy:63.505393%
loss is 0.766933, is decreasing!! save moddel
epoch:7418/50000,train loss:0.78956562,train accuracy:61.416025%,valid loss:0.76692566,valid accuracy:63.506207%
loss is 0.766926, is decreasing!! save moddel
epoch:7419/50000,train loss:0.78955823,train accuracy:61.416546%,valid loss:0.76692189,valid accuracy:63.506289%
loss is 0.766922, is decreasing!! save moddel
epoch:7420/50000,train loss:0.78954885,train accuracy:61.417033%,valid loss:0.76691518,valid accuracy:63.507013%
loss is 0.766915, is decreasing!! save moddel
epoch:7421/50000,train loss:0.78954262,train accuracy:61.417441%,valid loss:0.76691338,valid accuracy:63.506747%
loss is 0.766913, is decreasing!! save moddel
epoch:7422/50000,train loss:0.78953866,train accuracy:61.417954%,valid loss:0.76690821,valid accuracy:63.507892%
loss is 0.766908, is decreasing!! save moddel
epoch:7423/50000,train loss:0.78953319,train accuracy:61.418278%,valid loss:0.76690452,valid accuracy:63.508300%
loss is 0.766905, is decreasing!! save moddel
epoch:7424/50000,train loss:0.78952476,train accuracy:61.418904%,valid loss:0.76690134,valid accuracy:63.508361%
loss is 0.766901, is decreasing!! save moddel
epoch:7425/50000,train loss:0.78952098,train accuracy:61.418918%,valid loss:0.76689518,valid accuracy:63.509284%
loss is 0.766895, is decreasing!! save moddel
epoch:7426/50000,train loss:0.78951437,train accuracy:61.419308%,valid loss:0.76689441,valid accuracy:63.508934%
loss is 0.766894, is decreasing!! save moddel
epoch:7427/50000,train loss:0.78950632,train accuracy:61.420005%,valid loss:0.76689091,valid accuracy:63.509331%
loss is 0.766891, is decreasing!! save moddel
epoch:7428/50000,train loss:0.78950174,train accuracy:61.420268%,valid loss:0.76688632,valid accuracy:63.509612%
loss is 0.766886, is decreasing!! save moddel
epoch:7429/50000,train loss:0.78949390,train accuracy:61.420815%,valid loss:0.76687916,valid accuracy:63.510230%
loss is 0.766879, is decreasing!! save moddel
epoch:7430/50000,train loss:0.78948518,train accuracy:61.421548%,valid loss:0.76687328,valid accuracy:63.510831%
loss is 0.766873, is decreasing!! save moddel
epoch:7431/50000,train loss:0.78947993,train accuracy:61.421973%,valid loss:0.76687077,valid accuracy:63.510571%
loss is 0.766871, is decreasing!! save moddel
epoch:7432/50000,train loss:0.78947236,train accuracy:61.422498%,valid loss:0.76686518,valid accuracy:63.511814%
loss is 0.766865, is decreasing!! save moddel
epoch:7433/50000,train loss:0.78946539,train accuracy:61.423013%,valid loss:0.76685789,valid accuracy:63.512641%
loss is 0.766858, is decreasing!! save moddel
epoch:7434/50000,train loss:0.78945853,train accuracy:61.423703%,valid loss:0.76685270,valid accuracy:63.512827%
loss is 0.766853, is decreasing!! save moddel
epoch:7435/50000,train loss:0.78945351,train accuracy:61.424236%,valid loss:0.76684886,valid accuracy:63.513858%
loss is 0.766849, is decreasing!! save moddel
epoch:7436/50000,train loss:0.78944493,train accuracy:61.424690%,valid loss:0.76684382,valid accuracy:63.514884%
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epoch:7437/50000,train loss:0.78944090,train accuracy:61.424718%,valid loss:0.76683871,valid accuracy:63.516015%
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epoch:7438/50000,train loss:0.78943694,train accuracy:61.425253%,valid loss:0.76683681,valid accuracy:63.515555%
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epoch:7439/50000,train loss:0.78943028,train accuracy:61.425726%,valid loss:0.76683166,valid accuracy:63.515525%
loss is 0.766832, is decreasing!! save moddel
epoch:7440/50000,train loss:0.78942076,train accuracy:61.426451%,valid loss:0.76682992,valid accuracy:63.515149%
loss is 0.766830, is decreasing!! save moddel
epoch:7441/50000,train loss:0.78941897,train accuracy:61.426485%,valid loss:0.76682508,valid accuracy:63.515230%
loss is 0.766825, is decreasing!! save moddel
epoch:7442/50000,train loss:0.78941326,train accuracy:61.426819%,valid loss:0.76681924,valid accuracy:63.516329%
loss is 0.766819, is decreasing!! save moddel
epoch:7443/50000,train loss:0.78941219,train accuracy:61.427067%,valid loss:0.76681716,valid accuracy:63.516278%
loss is 0.766817, is decreasing!! save moddel
epoch:7444/50000,train loss:0.78940576,train accuracy:61.427602%,valid loss:0.76681008,valid accuracy:63.516689%
loss is 0.766810, is decreasing!! save moddel
epoch:7445/50000,train loss:0.78940089,train accuracy:61.427827%,valid loss:0.76681295,valid accuracy:63.516303%
epoch:7446/50000,train loss:0.78940029,train accuracy:61.427890%,valid loss:0.76680794,valid accuracy:63.517307%
loss is 0.766808, is decreasing!! save moddel
epoch:7447/50000,train loss:0.78939248,train accuracy:61.428588%,valid loss:0.76680256,valid accuracy:63.517497%
loss is 0.766803, is decreasing!! save moddel
epoch:7448/50000,train loss:0.78938500,train accuracy:61.429185%,valid loss:0.76679735,valid accuracy:63.517677%
loss is 0.766797, is decreasing!! save moddel
epoch:7449/50000,train loss:0.78937744,train accuracy:61.429855%,valid loss:0.76679283,valid accuracy:63.517836%
loss is 0.766793, is decreasing!! save moddel
epoch:7450/50000,train loss:0.78937009,train accuracy:61.430235%,valid loss:0.76679243,valid accuracy:63.517460%
loss is 0.766792, is decreasing!! save moddel
epoch:7451/50000,train loss:0.78936376,train accuracy:61.430497%,valid loss:0.76678643,valid accuracy:63.518169%
loss is 0.766786, is decreasing!! save moddel
epoch:7452/50000,train loss:0.78935529,train accuracy:61.430841%,valid loss:0.76678064,valid accuracy:63.518559%
loss is 0.766781, is decreasing!! save moddel
epoch:7453/50000,train loss:0.78934598,train accuracy:61.431795%,valid loss:0.76678270,valid accuracy:63.517879%
epoch:7454/50000,train loss:0.78934056,train accuracy:61.432069%,valid loss:0.76678053,valid accuracy:63.517624%
loss is 0.766781, is decreasing!! save moddel
epoch:7455/50000,train loss:0.78933673,train accuracy:61.432358%,valid loss:0.76677602,valid accuracy:63.518537%
loss is 0.766776, is decreasing!! save moddel
epoch:7456/50000,train loss:0.78933068,train accuracy:61.432804%,valid loss:0.76677665,valid accuracy:63.518376%
epoch:7457/50000,train loss:0.78932394,train accuracy:61.433369%,valid loss:0.76677366,valid accuracy:63.518367%
loss is 0.766774, is decreasing!! save moddel
epoch:7458/50000,train loss:0.78931639,train accuracy:61.433769%,valid loss:0.76677324,valid accuracy:63.517986%
loss is 0.766773, is decreasing!! save moddel
epoch:7459/50000,train loss:0.78931602,train accuracy:61.433823%,valid loss:0.76676755,valid accuracy:63.518375%
loss is 0.766768, is decreasing!! save moddel
epoch:7460/50000,train loss:0.78932671,train accuracy:61.433013%,valid loss:0.76676753,valid accuracy:63.518555%
loss is 0.766768, is decreasing!! save moddel
epoch:7461/50000,train loss:0.78932702,train accuracy:61.433113%,valid loss:0.76676420,valid accuracy:63.518519%
loss is 0.766764, is decreasing!! save moddel
epoch:7462/50000,train loss:0.78931968,train accuracy:61.433444%,valid loss:0.76676164,valid accuracy:63.518678%
loss is 0.766762, is decreasing!! save moddel
epoch:7463/50000,train loss:0.78931786,train accuracy:61.433635%,valid loss:0.76676094,valid accuracy:63.518633%
loss is 0.766761, is decreasing!! save moddel
epoch:7464/50000,train loss:0.78931098,train accuracy:61.434240%,valid loss:0.76675993,valid accuracy:63.518671%
loss is 0.766760, is decreasing!! save moddel
epoch:7465/50000,train loss:0.78930645,train accuracy:61.434564%,valid loss:0.76675465,valid accuracy:63.519399%
loss is 0.766755, is decreasing!! save moddel
epoch:7466/50000,train loss:0.78930209,train accuracy:61.434921%,valid loss:0.76675417,valid accuracy:63.519553%
loss is 0.766754, is decreasing!! save moddel
epoch:7467/50000,train loss:0.78929708,train accuracy:61.435425%,valid loss:0.76675109,valid accuracy:63.519617%
loss is 0.766751, is decreasing!! save moddel
epoch:7468/50000,train loss:0.78929219,train accuracy:61.435650%,valid loss:0.76674859,valid accuracy:63.520219%
loss is 0.766749, is decreasing!! save moddel
epoch:7469/50000,train loss:0.78928588,train accuracy:61.436167%,valid loss:0.76675220,valid accuracy:63.519949%
epoch:7470/50000,train loss:0.78927915,train accuracy:61.436577%,valid loss:0.76674852,valid accuracy:63.520442%
loss is 0.766749, is decreasing!! save moddel
epoch:7471/50000,train loss:0.78927635,train accuracy:61.436716%,valid loss:0.76674648,valid accuracy:63.520924%
loss is 0.766746, is decreasing!! save moddel
epoch:7472/50000,train loss:0.78927351,train accuracy:61.437056%,valid loss:0.76675336,valid accuracy:63.520355%
epoch:7473/50000,train loss:0.78927131,train accuracy:61.437312%,valid loss:0.76675234,valid accuracy:63.521276%
epoch:7474/50000,train loss:0.78926645,train accuracy:61.437620%,valid loss:0.76675550,valid accuracy:63.520828%
epoch:7475/50000,train loss:0.78926031,train accuracy:61.438427%,valid loss:0.76675371,valid accuracy:63.520787%
epoch:7476/50000,train loss:0.78925832,train accuracy:61.438794%,valid loss:0.76675256,valid accuracy:63.521488%
epoch:7477/50000,train loss:0.78925360,train accuracy:61.439356%,valid loss:0.76675059,valid accuracy:63.521771%
epoch:7478/50000,train loss:0.78925227,train accuracy:61.439588%,valid loss:0.76675162,valid accuracy:63.521318%
epoch:7479/50000,train loss:0.78924698,train accuracy:61.439896%,valid loss:0.76675236,valid accuracy:63.520938%
epoch:7480/50000,train loss:0.78924059,train accuracy:61.440207%,valid loss:0.76675018,valid accuracy:63.521858%
epoch:7481/50000,train loss:0.78923948,train accuracy:61.440584%,valid loss:0.76674931,valid accuracy:63.522110%
epoch:7482/50000,train loss:0.78923752,train accuracy:61.440599%,valid loss:0.76674760,valid accuracy:63.522497%
epoch:7483/50000,train loss:0.78923323,train accuracy:61.440866%,valid loss:0.76675002,valid accuracy:63.522347%
epoch:7484/50000,train loss:0.78923060,train accuracy:61.441476%,valid loss:0.76674776,valid accuracy:63.522619%
epoch:7485/50000,train loss:0.78922590,train accuracy:61.441888%,valid loss:0.76674623,valid accuracy:63.523309%
loss is 0.766746, is decreasing!! save moddel
epoch:7486/50000,train loss:0.78922699,train accuracy:61.441906%,valid loss:0.76674617,valid accuracy:63.523158%
loss is 0.766746, is decreasing!! save moddel
epoch:7487/50000,train loss:0.78922130,train accuracy:61.442300%,valid loss:0.76674383,valid accuracy:63.523504%
loss is 0.766744, is decreasing!! save moddel
epoch:7488/50000,train loss:0.78922108,train accuracy:61.442809%,valid loss:0.76674296,valid accuracy:63.523672%
loss is 0.766743, is decreasing!! save moddel
epoch:7489/50000,train loss:0.78921925,train accuracy:61.442898%,valid loss:0.76676501,valid accuracy:63.522598%
epoch:7490/50000,train loss:0.78921336,train accuracy:61.443361%,valid loss:0.76677326,valid accuracy:63.522328%
epoch:7491/50000,train loss:0.78920822,train accuracy:61.443796%,valid loss:0.76677469,valid accuracy:63.522293%
epoch:7492/50000,train loss:0.78920580,train accuracy:61.444026%,valid loss:0.76677453,valid accuracy:63.522361%
epoch:7493/50000,train loss:0.78920257,train accuracy:61.444273%,valid loss:0.76677307,valid accuracy:63.522743%
epoch:7494/50000,train loss:0.78919657,train accuracy:61.444695%,valid loss:0.76677610,valid accuracy:63.522582%
epoch:7495/50000,train loss:0.78919001,train accuracy:61.445280%,valid loss:0.76677734,valid accuracy:63.522656%
epoch:7496/50000,train loss:0.78919007,train accuracy:61.445603%,valid loss:0.76677966,valid accuracy:63.522610%
epoch:7497/50000,train loss:0.78918453,train accuracy:61.445962%,valid loss:0.76678098,valid accuracy:63.523070%
epoch:7498/50000,train loss:0.78918061,train accuracy:61.446640%,valid loss:0.76678097,valid accuracy:63.523477%
epoch:7499/50000,train loss:0.78917727,train accuracy:61.446797%,valid loss:0.76679288,valid accuracy:63.522889%
epoch:7500/50000,train loss:0.78917481,train accuracy:61.447207%,valid loss:0.76679308,valid accuracy:63.522948%
epoch:7501/50000,train loss:0.78917110,train accuracy:61.447732%,valid loss:0.76679302,valid accuracy:63.523453%
epoch:7502/50000,train loss:0.78916751,train accuracy:61.447983%,valid loss:0.76679445,valid accuracy:63.523433%
epoch:7503/50000,train loss:0.78916641,train accuracy:61.448159%,valid loss:0.76679950,valid accuracy:63.523138%
epoch:7504/50000,train loss:0.78916607,train accuracy:61.448073%,valid loss:0.76679947,valid accuracy:63.523727%
epoch:7505/50000,train loss:0.78916725,train accuracy:61.448055%,valid loss:0.76680466,valid accuracy:63.523358%
epoch:7506/50000,train loss:0.78916807,train accuracy:61.448185%,valid loss:0.76680788,valid accuracy:63.523120%
epoch:7507/50000,train loss:0.78917036,train accuracy:61.448183%,valid loss:0.76681067,valid accuracy:63.522944%
epoch:7508/50000,train loss:0.78916935,train accuracy:61.448167%,valid loss:0.76681358,valid accuracy:63.522571%
epoch:7509/50000,train loss:0.78916687,train accuracy:61.448299%,valid loss:0.76681680,valid accuracy:63.522307%
epoch:7510/50000,train loss:0.78916662,train accuracy:61.448581%,valid loss:0.76682287,valid accuracy:63.521923%
epoch:7511/50000,train loss:0.78916642,train accuracy:61.448600%,valid loss:0.76683073,valid accuracy:63.521649%
epoch:7512/50000,train loss:0.78916912,train accuracy:61.448813%,valid loss:0.76684163,valid accuracy:63.521073%
epoch:7513/50000,train loss:0.78916911,train accuracy:61.448751%,valid loss:0.76684502,valid accuracy:63.521116%
epoch:7514/50000,train loss:0.78917235,train accuracy:61.448541%,valid loss:0.76684788,valid accuracy:63.521206%
epoch:7515/50000,train loss:0.78917346,train accuracy:61.448687%,valid loss:0.76685830,valid accuracy:63.520666%
epoch:7516/50000,train loss:0.78917354,train accuracy:61.448962%,valid loss:0.76687465,valid accuracy:63.519857%
epoch:7517/50000,train loss:0.78917954,train accuracy:61.448576%,valid loss:0.76688294,valid accuracy:63.519287%
epoch:7518/50000,train loss:0.78917772,train accuracy:61.448825%,valid loss:0.76688677,valid accuracy:63.519013%
epoch:7519/50000,train loss:0.78917812,train accuracy:61.448868%,valid loss:0.76688914,valid accuracy:63.519602%
epoch:7520/50000,train loss:0.78917947,train accuracy:61.448878%,valid loss:0.76689206,valid accuracy:63.519447%
epoch:7521/50000,train loss:0.78918092,train accuracy:61.448837%,valid loss:0.76689594,valid accuracy:63.519417%
epoch:7522/50000,train loss:0.78918014,train accuracy:61.448867%,valid loss:0.76689729,valid accuracy:63.519471%
epoch:7523/50000,train loss:0.78918389,train accuracy:61.448903%,valid loss:0.76689930,valid accuracy:63.519737%
epoch:7524/50000,train loss:0.78918462,train accuracy:61.448959%,valid loss:0.76690394,valid accuracy:63.519583%
epoch:7525/50000,train loss:0.78919105,train accuracy:61.448582%,valid loss:0.76690707,valid accuracy:63.519527%
epoch:7526/50000,train loss:0.78919009,train accuracy:61.448745%,valid loss:0.76690927,valid accuracy:63.519467%
epoch:7527/50000,train loss:0.78920909,train accuracy:61.447905%,valid loss:0.76691790,valid accuracy:63.519209%
epoch:7528/50000,train loss:0.78920787,train accuracy:61.448120%,valid loss:0.76691977,valid accuracy:63.519802%
epoch:7529/50000,train loss:0.78920797,train accuracy:61.448552%,valid loss:0.76692729,valid accuracy:63.519326%
epoch:7530/50000,train loss:0.78920536,train accuracy:61.448829%,valid loss:0.76692860,valid accuracy:63.520027%
epoch:7531/50000,train loss:0.78920401,train accuracy:61.449092%,valid loss:0.76693031,valid accuracy:63.519977%
epoch:7532/50000,train loss:0.78920233,train accuracy:61.449396%,valid loss:0.76694039,valid accuracy:63.519626%
epoch:7533/50000,train loss:0.78920054,train accuracy:61.449729%,valid loss:0.76694488,valid accuracy:63.519871%
epoch:7534/50000,train loss:0.78919736,train accuracy:61.450085%,valid loss:0.76694478,valid accuracy:63.520448%
epoch:7535/50000,train loss:0.78919606,train accuracy:61.450122%,valid loss:0.76694619,valid accuracy:63.520595%
epoch:7536/50000,train loss:0.78919313,train accuracy:61.450327%,valid loss:0.76695651,valid accuracy:63.520327%
epoch:7537/50000,train loss:0.78918997,train accuracy:61.450666%,valid loss:0.76696350,valid accuracy:63.519955%
epoch:7538/50000,train loss:0.78919535,train accuracy:61.450490%,valid loss:0.76696593,valid accuracy:63.519910%
epoch:7539/50000,train loss:0.78919268,train accuracy:61.450725%,valid loss:0.76698296,valid accuracy:63.519228%
epoch:7540/50000,train loss:0.78918943,train accuracy:61.450852%,valid loss:0.76698267,valid accuracy:63.519301%
epoch:7541/50000,train loss:0.78918683,train accuracy:61.450904%,valid loss:0.76698109,valid accuracy:63.520328%
epoch:7542/50000,train loss:0.78919032,train accuracy:61.450894%,valid loss:0.76699009,valid accuracy:63.519946%
epoch:7543/50000,train loss:0.78918876,train accuracy:61.451209%,valid loss:0.76699283,valid accuracy:63.519601%
epoch:7544/50000,train loss:0.78918827,train accuracy:61.451298%,valid loss:0.76699031,valid accuracy:63.520414%
epoch:7545/50000,train loss:0.78918337,train accuracy:61.451936%,valid loss:0.76699033,valid accuracy:63.520566%
epoch:7546/50000,train loss:0.78917711,train accuracy:61.452467%,valid loss:0.76699600,valid accuracy:63.520531%
epoch:7547/50000,train loss:0.78917196,train accuracy:61.452856%,valid loss:0.76699647,valid accuracy:63.520801%
epoch:7548/50000,train loss:0.78916588,train accuracy:61.453376%,valid loss:0.76699472,valid accuracy:63.520988%
epoch:7549/50000,train loss:0.78916178,train accuracy:61.454056%,valid loss:0.76699574,valid accuracy:63.521041%
epoch:7550/50000,train loss:0.78915733,train accuracy:61.454519%,valid loss:0.76699402,valid accuracy:63.521627%
epoch:7551/50000,train loss:0.78915477,train accuracy:61.454674%,valid loss:0.76699341,valid accuracy:63.521917%
epoch:7552/50000,train loss:0.78914933,train accuracy:61.454928%,valid loss:0.76699290,valid accuracy:63.523139%
epoch:7553/50000,train loss:0.78914563,train accuracy:61.455207%,valid loss:0.76699006,valid accuracy:63.524065%
epoch:7554/50000,train loss:0.78914213,train accuracy:61.455451%,valid loss:0.76698925,valid accuracy:63.524216%
epoch:7555/50000,train loss:0.78913969,train accuracy:61.455689%,valid loss:0.76698708,valid accuracy:63.525012%
epoch:7556/50000,train loss:0.78913410,train accuracy:61.456129%,valid loss:0.76698578,valid accuracy:63.525178%
epoch:7557/50000,train loss:0.78912883,train accuracy:61.456557%,valid loss:0.76698707,valid accuracy:63.525324%
epoch:7558/50000,train loss:0.78912726,train accuracy:61.457008%,valid loss:0.76699527,valid accuracy:63.524854%
epoch:7559/50000,train loss:0.78912319,train accuracy:61.457286%,valid loss:0.76699336,valid accuracy:63.525878%
epoch:7560/50000,train loss:0.78911856,train accuracy:61.457885%,valid loss:0.76699144,valid accuracy:63.526044%
epoch:7561/50000,train loss:0.78911576,train accuracy:61.458194%,valid loss:0.76698915,valid accuracy:63.526426%
epoch:7562/50000,train loss:0.78911156,train accuracy:61.458750%,valid loss:0.76698677,valid accuracy:63.527335%
epoch:7563/50000,train loss:0.78910495,train accuracy:61.459552%,valid loss:0.76698741,valid accuracy:63.527289%
epoch:7564/50000,train loss:0.78909795,train accuracy:61.459943%,valid loss:0.76698397,valid accuracy:63.528203%
epoch:7565/50000,train loss:0.78909671,train accuracy:61.460173%,valid loss:0.76698234,valid accuracy:63.529210%
epoch:7566/50000,train loss:0.78909639,train accuracy:61.460278%,valid loss:0.76699334,valid accuracy:63.528735%
epoch:7567/50000,train loss:0.78909257,train accuracy:61.460631%,valid loss:0.76699251,valid accuracy:63.529731%
epoch:7568/50000,train loss:0.78908847,train accuracy:61.461109%,valid loss:0.76699233,valid accuracy:63.529700%
epoch:7569/50000,train loss:0.78908562,train accuracy:61.461613%,valid loss:0.76699100,valid accuracy:63.529762%
epoch:7570/50000,train loss:0.78907958,train accuracy:61.461887%,valid loss:0.76698995,valid accuracy:63.529943%
epoch:7571/50000,train loss:0.78907250,train accuracy:61.462363%,valid loss:0.76698607,valid accuracy:63.530644%
epoch:7572/50000,train loss:0.78906785,train accuracy:61.462520%,valid loss:0.76698376,valid accuracy:63.530897%
epoch:7573/50000,train loss:0.78906350,train accuracy:61.462938%,valid loss:0.76698919,valid accuracy:63.530624%
epoch:7574/50000,train loss:0.78906119,train accuracy:61.463417%,valid loss:0.76699867,valid accuracy:63.530366%
epoch:7575/50000,train loss:0.78905726,train accuracy:61.463721%,valid loss:0.76699754,valid accuracy:63.530546%
epoch:7576/50000,train loss:0.78905502,train accuracy:61.463812%,valid loss:0.76699658,valid accuracy:63.530696%
epoch:7577/50000,train loss:0.78905159,train accuracy:61.464116%,valid loss:0.76699415,valid accuracy:63.530865%
epoch:7578/50000,train loss:0.78904440,train accuracy:61.464430%,valid loss:0.76699309,valid accuracy:63.530958%
epoch:7579/50000,train loss:0.78903705,train accuracy:61.465167%,valid loss:0.76698934,valid accuracy:63.531643%
epoch:7580/50000,train loss:0.78902977,train accuracy:61.465471%,valid loss:0.76698587,valid accuracy:63.531812%
epoch:7581/50000,train loss:0.78903391,train accuracy:61.465304%,valid loss:0.76699245,valid accuracy:63.531565%
epoch:7582/50000,train loss:0.78903110,train accuracy:61.465677%,valid loss:0.76698903,valid accuracy:63.532270%
epoch:7583/50000,train loss:0.78902585,train accuracy:61.466035%,valid loss:0.76698490,valid accuracy:63.532671%
epoch:7584/50000,train loss:0.78902174,train accuracy:61.466401%,valid loss:0.76699313,valid accuracy:63.532099%
epoch:7585/50000,train loss:0.78901412,train accuracy:61.466783%,valid loss:0.76698990,valid accuracy:63.532588%
epoch:7586/50000,train loss:0.78900726,train accuracy:61.467533%,valid loss:0.76698689,valid accuracy:63.532742%
epoch:7587/50000,train loss:0.78900187,train accuracy:61.467939%,valid loss:0.76698278,valid accuracy:63.533132%
epoch:7588/50000,train loss:0.78899549,train accuracy:61.468505%,valid loss:0.76697838,valid accuracy:63.533405%
epoch:7589/50000,train loss:0.78898960,train accuracy:61.469117%,valid loss:0.76697536,valid accuracy:63.533589%
epoch:7590/50000,train loss:0.78898202,train accuracy:61.469674%,valid loss:0.76697107,valid accuracy:63.534145%
epoch:7591/50000,train loss:0.78897661,train accuracy:61.470330%,valid loss:0.76696573,valid accuracy:63.534941%
epoch:7592/50000,train loss:0.78897217,train accuracy:61.470911%,valid loss:0.76696772,valid accuracy:63.535007%
epoch:7593/50000,train loss:0.78896738,train accuracy:61.471152%,valid loss:0.76696180,valid accuracy:63.535402%
epoch:7594/50000,train loss:0.78896262,train accuracy:61.471817%,valid loss:0.76695639,valid accuracy:63.536018%
epoch:7595/50000,train loss:0.78895468,train accuracy:61.472545%,valid loss:0.76695038,valid accuracy:63.537349%
epoch:7596/50000,train loss:0.78894649,train accuracy:61.473464%,valid loss:0.76695076,valid accuracy:63.537307%
epoch:7597/50000,train loss:0.78893973,train accuracy:61.474033%,valid loss:0.76694517,valid accuracy:63.537876%
epoch:7598/50000,train loss:0.78892928,train accuracy:61.474948%,valid loss:0.76693965,valid accuracy:63.538353%
epoch:7599/50000,train loss:0.78892048,train accuracy:61.475897%,valid loss:0.76693386,valid accuracy:63.539138%
epoch:7600/50000,train loss:0.78891412,train accuracy:61.476630%,valid loss:0.76692782,valid accuracy:63.539605%
epoch:7601/50000,train loss:0.78890928,train accuracy:61.477322%,valid loss:0.76692185,valid accuracy:63.540302%
epoch:7602/50000,train loss:0.78890225,train accuracy:61.477911%,valid loss:0.76692086,valid accuracy:63.540367%
epoch:7603/50000,train loss:0.78889251,train accuracy:61.478850%,valid loss:0.76691510,valid accuracy:63.540849%
epoch:7604/50000,train loss:0.78888807,train accuracy:61.479329%,valid loss:0.76691123,valid accuracy:63.541227%
epoch:7605/50000,train loss:0.78888057,train accuracy:61.480064%,valid loss:0.76690741,valid accuracy:63.541478%
epoch:7606/50000,train loss:0.78887652,train accuracy:61.480159%,valid loss:0.76690621,valid accuracy:63.541748%
epoch:7607/50000,train loss:0.78886907,train accuracy:61.480877%,valid loss:0.76690317,valid accuracy:63.541921%
epoch:7608/50000,train loss:0.78886094,train accuracy:61.481390%,valid loss:0.76689757,valid accuracy:63.542519%
epoch:7609/50000,train loss:0.78885218,train accuracy:61.481975%,valid loss:0.76689591,valid accuracy:63.542692%
epoch:7610/50000,train loss:0.78884319,train accuracy:61.482908%,valid loss:0.76689121,valid accuracy:63.543168%
epoch:7611/50000,train loss:0.78883585,train accuracy:61.483502%,valid loss:0.76688757,valid accuracy:63.543325%
epoch:7612/50000,train loss:0.78882889,train accuracy:61.483928%,valid loss:0.76688423,valid accuracy:63.543380%
epoch:7613/50000,train loss:0.78882148,train accuracy:61.484392%,valid loss:0.76688100,valid accuracy:63.543440%
epoch:7614/50000,train loss:0.78881899,train accuracy:61.484770%,valid loss:0.76687735,valid accuracy:63.543582%
epoch:7615/50000,train loss:0.78880968,train accuracy:61.485401%,valid loss:0.76687056,valid accuracy:63.544154%
epoch:7616/50000,train loss:0.78880423,train accuracy:61.485780%,valid loss:0.76686843,valid accuracy:63.544234%
epoch:7617/50000,train loss:0.78879688,train accuracy:61.486138%,valid loss:0.76686244,valid accuracy:63.544719%
epoch:7618/50000,train loss:0.78878983,train accuracy:61.486639%,valid loss:0.76685895,valid accuracy:63.544789%
epoch:7619/50000,train loss:0.78878172,train accuracy:61.487235%,valid loss:0.76685216,valid accuracy:63.545581%
epoch:7620/50000,train loss:0.78877548,train accuracy:61.487856%,valid loss:0.76684482,valid accuracy:63.546814%
epoch:7621/50000,train loss:0.78876555,train accuracy:61.488640%,valid loss:0.76683733,valid accuracy:63.547488%
epoch:7622/50000,train loss:0.78875928,train accuracy:61.489023%,valid loss:0.76683519,valid accuracy:63.547429%
epoch:7623/50000,train loss:0.78874903,train accuracy:61.489816%,valid loss:0.76682874,valid accuracy:63.547909%
epoch:7624/50000,train loss:0.78874061,train accuracy:61.490367%,valid loss:0.76682239,valid accuracy:63.548173%
epoch:7625/50000,train loss:0.78873180,train accuracy:61.491003%,valid loss:0.76682612,valid accuracy:63.547842%
epoch:7626/50000,train loss:0.78872390,train accuracy:61.491483%,valid loss:0.76682080,valid accuracy:63.547983%
epoch:7627/50000,train loss:0.78871725,train accuracy:61.491966%,valid loss:0.76681529,valid accuracy:63.548262%
epoch:7628/50000,train loss:0.78870928,train accuracy:61.492460%,valid loss:0.76681177,valid accuracy:63.548608%
epoch:7629/50000,train loss:0.78870035,train accuracy:61.493235%,valid loss:0.76680838,valid accuracy:63.548677%
epoch:7630/50000,train loss:0.78869012,train accuracy:61.494099%,valid loss:0.76680468,valid accuracy:63.548741%
epoch:7631/50000,train loss:0.78867945,train accuracy:61.494998%,valid loss:0.76679701,valid accuracy:63.549123%
epoch:7632/50000,train loss:0.78866944,train accuracy:61.495926%,valid loss:0.76678959,valid accuracy:63.549212%
epoch:7633/50000,train loss:0.78865896,train accuracy:61.496765%,valid loss:0.76678580,valid accuracy:63.549403%
epoch:7634/50000,train loss:0.78865008,train accuracy:61.497471%,valid loss:0.76677970,valid accuracy:63.549564%
epoch:7635/50000,train loss:0.78864096,train accuracy:61.498001%,valid loss:0.76677380,valid accuracy:63.549608%
epoch:7636/50000,train loss:0.78863214,train accuracy:61.498605%,valid loss:0.76676707,valid accuracy:63.549769%
epoch:7637/50000,train loss:0.78862432,train accuracy:61.499117%,valid loss:0.76676156,valid accuracy:63.549925%
epoch:7638/50000,train loss:0.78861345,train accuracy:61.499851%,valid loss:0.76677225,valid accuracy:63.549764%
epoch:7639/50000,train loss:0.78860366,train accuracy:61.500656%,valid loss:0.76676276,valid accuracy:63.549823%
epoch:7640/50000,train loss:0.78859321,train accuracy:61.501341%,valid loss:0.76675311,valid accuracy:63.550949%
epoch:7641/50000,train loss:0.78858255,train accuracy:61.502094%,valid loss:0.76674621,valid accuracy:63.551115%
epoch:7642/50000,train loss:0.78857157,train accuracy:61.502844%,valid loss:0.76673715,valid accuracy:63.551271%
loss is 0.766737, is decreasing!! save moddel
epoch:7643/50000,train loss:0.78856026,train accuracy:61.503716%,valid loss:0.76672995,valid accuracy:63.551314%
loss is 0.766730, is decreasing!! save moddel
epoch:7644/50000,train loss:0.78855186,train accuracy:61.504241%,valid loss:0.76672140,valid accuracy:63.551781%
loss is 0.766721, is decreasing!! save moddel
epoch:7645/50000,train loss:0.78854052,train accuracy:61.505116%,valid loss:0.76671146,valid accuracy:63.552259%
loss is 0.766711, is decreasing!! save moddel
epoch:7646/50000,train loss:0.78852988,train accuracy:61.506004%,valid loss:0.76670415,valid accuracy:63.552628%
loss is 0.766704, is decreasing!! save moddel
epoch:7647/50000,train loss:0.78852072,train accuracy:61.506695%,valid loss:0.76669735,valid accuracy:63.552707%
loss is 0.766697, is decreasing!! save moddel
epoch:7648/50000,train loss:0.78850813,train accuracy:61.507787%,valid loss:0.76669032,valid accuracy:63.552872%
loss is 0.766690, is decreasing!! save moddel
epoch:7649/50000,train loss:0.78850066,train accuracy:61.508378%,valid loss:0.76668179,valid accuracy:63.552920%
loss is 0.766682, is decreasing!! save moddel
epoch:7650/50000,train loss:0.78849352,train accuracy:61.508998%,valid loss:0.76667399,valid accuracy:63.553928%
loss is 0.766674, is decreasing!! save moddel
epoch:7651/50000,train loss:0.78848384,train accuracy:61.509739%,valid loss:0.76666534,valid accuracy:63.554175%
loss is 0.766665, is decreasing!! save moddel
epoch:7652/50000,train loss:0.78847607,train accuracy:61.510136%,valid loss:0.76665803,valid accuracy:63.554656%
loss is 0.766658, is decreasing!! save moddel
epoch:7653/50000,train loss:0.78846611,train accuracy:61.510870%,valid loss:0.76664882,valid accuracy:63.555352%
loss is 0.766649, is decreasing!! save moddel
epoch:7654/50000,train loss:0.78845563,train accuracy:61.511603%,valid loss:0.76664235,valid accuracy:63.555843%
loss is 0.766642, is decreasing!! save moddel
epoch:7655/50000,train loss:0.78844859,train accuracy:61.512003%,valid loss:0.76663335,valid accuracy:63.556339%
loss is 0.766633, is decreasing!! save moddel
epoch:7656/50000,train loss:0.78843900,train accuracy:61.512869%,valid loss:0.76662758,valid accuracy:63.556519%
loss is 0.766628, is decreasing!! save moddel
epoch:7657/50000,train loss:0.78842978,train accuracy:61.513752%,valid loss:0.76662361,valid accuracy:63.556455%
loss is 0.766624, is decreasing!! save moddel
epoch:7658/50000,train loss:0.78842298,train accuracy:61.514124%,valid loss:0.76661717,valid accuracy:63.556624%
loss is 0.766617, is decreasing!! save moddel
epoch:7659/50000,train loss:0.78841444,train accuracy:61.514874%,valid loss:0.76661530,valid accuracy:63.556468%
loss is 0.766615, is decreasing!! save moddel
epoch:7660/50000,train loss:0.78841027,train accuracy:61.515133%,valid loss:0.76660835,valid accuracy:63.556964%
loss is 0.766608, is decreasing!! save moddel
epoch:7661/50000,train loss:0.78840365,train accuracy:61.515583%,valid loss:0.76660204,valid accuracy:63.557643%
loss is 0.766602, is decreasing!! save moddel
epoch:7662/50000,train loss:0.78839639,train accuracy:61.516332%,valid loss:0.76659634,valid accuracy:63.558638%
loss is 0.766596, is decreasing!! save moddel
epoch:7663/50000,train loss:0.78839224,train accuracy:61.516735%,valid loss:0.76658932,valid accuracy:63.559032%
loss is 0.766589, is decreasing!! save moddel
epoch:7664/50000,train loss:0.78838716,train accuracy:61.517101%,valid loss:0.76658528,valid accuracy:63.559181%
loss is 0.766585, is decreasing!! save moddel
epoch:7665/50000,train loss:0.78838024,train accuracy:61.517480%,valid loss:0.76658160,valid accuracy:63.559758%
loss is 0.766582, is decreasing!! save moddel
epoch:7666/50000,train loss:0.78837337,train accuracy:61.518334%,valid loss:0.76657594,valid accuracy:63.560009%
loss is 0.766576, is decreasing!! save moddel
epoch:7667/50000,train loss:0.78836579,train accuracy:61.518868%,valid loss:0.76657111,valid accuracy:63.560081%
loss is 0.766571, is decreasing!! save moddel
epoch:7668/50000,train loss:0.78835702,train accuracy:61.519437%,valid loss:0.76656967,valid accuracy:63.560245%
loss is 0.766570, is decreasing!! save moddel
epoch:7669/50000,train loss:0.78835525,train accuracy:61.519561%,valid loss:0.76656550,valid accuracy:63.560928%
loss is 0.766566, is decreasing!! save moddel
epoch:7670/50000,train loss:0.78835149,train accuracy:61.519896%,valid loss:0.76657046,valid accuracy:63.560553%
epoch:7671/50000,train loss:0.78834673,train accuracy:61.520363%,valid loss:0.76656489,valid accuracy:63.561012%
loss is 0.766565, is decreasing!! save moddel
epoch:7672/50000,train loss:0.78834635,train accuracy:61.520434%,valid loss:0.76656088,valid accuracy:63.561253%
loss is 0.766561, is decreasing!! save moddel
epoch:7673/50000,train loss:0.78834059,train accuracy:61.520865%,valid loss:0.76656196,valid accuracy:63.560980%
epoch:7674/50000,train loss:0.78833709,train accuracy:61.521120%,valid loss:0.76655552,valid accuracy:63.561484%
loss is 0.766556, is decreasing!! save moddel
epoch:7675/50000,train loss:0.78833507,train accuracy:61.521190%,valid loss:0.76655791,valid accuracy:63.561327%
epoch:7676/50000,train loss:0.78833001,train accuracy:61.521425%,valid loss:0.76655226,valid accuracy:63.562111%
loss is 0.766552, is decreasing!! save moddel
epoch:7677/50000,train loss:0.78832361,train accuracy:61.521762%,valid loss:0.76654976,valid accuracy:63.562087%
loss is 0.766550, is decreasing!! save moddel
epoch:7678/50000,train loss:0.78831864,train accuracy:61.522113%,valid loss:0.76654282,valid accuracy:63.562779%
loss is 0.766543, is decreasing!! save moddel
epoch:7679/50000,train loss:0.78831205,train accuracy:61.522728%,valid loss:0.76653625,valid accuracy:63.563156%
loss is 0.766536, is decreasing!! save moddel
epoch:7680/50000,train loss:0.78830260,train accuracy:61.523397%,valid loss:0.76653189,valid accuracy:63.563091%
loss is 0.766532, is decreasing!! save moddel
epoch:7681/50000,train loss:0.78829562,train accuracy:61.523746%,valid loss:0.76652412,valid accuracy:63.564103%
loss is 0.766524, is decreasing!! save moddel
epoch:7682/50000,train loss:0.78828940,train accuracy:61.524150%,valid loss:0.76652097,valid accuracy:63.564154%
loss is 0.766521, is decreasing!! save moddel
epoch:7683/50000,train loss:0.78828170,train accuracy:61.524809%,valid loss:0.76651750,valid accuracy:63.564109%
loss is 0.766517, is decreasing!! save moddel
epoch:7684/50000,train loss:0.78827939,train accuracy:61.524840%,valid loss:0.76651391,valid accuracy:63.563851%
loss is 0.766514, is decreasing!! save moddel
epoch:7685/50000,train loss:0.78827107,train accuracy:61.525445%,valid loss:0.76650999,valid accuracy:63.563612%
loss is 0.766510, is decreasing!! save moddel
epoch:7686/50000,train loss:0.78826805,train accuracy:61.525608%,valid loss:0.76650318,valid accuracy:63.564812%
loss is 0.766503, is decreasing!! save moddel
epoch:7687/50000,train loss:0.78826148,train accuracy:61.526343%,valid loss:0.76649572,valid accuracy:63.565604%
loss is 0.766496, is decreasing!! save moddel
epoch:7688/50000,train loss:0.78825290,train accuracy:61.526784%,valid loss:0.76648818,valid accuracy:63.566179%
loss is 0.766488, is decreasing!! save moddel
epoch:7689/50000,train loss:0.78824500,train accuracy:61.527336%,valid loss:0.76648142,valid accuracy:63.566753%
loss is 0.766481, is decreasing!! save moddel
epoch:7690/50000,train loss:0.78823789,train accuracy:61.528083%,valid loss:0.76647530,valid accuracy:63.567215%
loss is 0.766475, is decreasing!! save moddel
epoch:7691/50000,train loss:0.78823165,train accuracy:61.528622%,valid loss:0.76647018,valid accuracy:63.567475%
loss is 0.766470, is decreasing!! save moddel
epoch:7692/50000,train loss:0.78822821,train accuracy:61.528842%,valid loss:0.76646593,valid accuracy:63.567632%
loss is 0.766466, is decreasing!! save moddel
epoch:7693/50000,train loss:0.78822149,train accuracy:61.529295%,valid loss:0.76646806,valid accuracy:63.567170%
epoch:7694/50000,train loss:0.78821342,train accuracy:61.530060%,valid loss:0.76646479,valid accuracy:63.567241%
loss is 0.766465, is decreasing!! save moddel
epoch:7695/50000,train loss:0.78820925,train accuracy:61.530611%,valid loss:0.76645957,valid accuracy:63.567734%
loss is 0.766460, is decreasing!! save moddel
epoch:7696/50000,train loss:0.78820465,train accuracy:61.530828%,valid loss:0.76645910,valid accuracy:63.567383%
loss is 0.766459, is decreasing!! save moddel
epoch:7697/50000,train loss:0.78820041,train accuracy:61.531151%,valid loss:0.76645469,valid accuracy:63.567764%
loss is 0.766455, is decreasing!! save moddel
epoch:7698/50000,train loss:0.78819861,train accuracy:61.531309%,valid loss:0.76645142,valid accuracy:63.567800%
loss is 0.766451, is decreasing!! save moddel
epoch:7699/50000,train loss:0.78819580,train accuracy:61.531650%,valid loss:0.76644713,valid accuracy:63.568084%
loss is 0.766447, is decreasing!! save moddel
epoch:7700/50000,train loss:0.78819084,train accuracy:61.532032%,valid loss:0.76644187,valid accuracy:63.568677%
loss is 0.766442, is decreasing!! save moddel
epoch:7701/50000,train loss:0.78818413,train accuracy:61.532606%,valid loss:0.76643693,valid accuracy:63.569108%
loss is 0.766437, is decreasing!! save moddel
epoch:7702/50000,train loss:0.78817884,train accuracy:61.533191%,valid loss:0.76643049,valid accuracy:63.569788%
loss is 0.766430, is decreasing!! save moddel
epoch:7703/50000,train loss:0.78817647,train accuracy:61.533736%,valid loss:0.76642504,valid accuracy:63.570259%
loss is 0.766425, is decreasing!! save moddel
epoch:7704/50000,train loss:0.78817589,train accuracy:61.533724%,valid loss:0.76642265,valid accuracy:63.570487%
loss is 0.766423, is decreasing!! save moddel
epoch:7705/50000,train loss:0.78817002,train accuracy:61.534129%,valid loss:0.76641830,valid accuracy:63.571262%
loss is 0.766418, is decreasing!! save moddel
epoch:7706/50000,train loss:0.78816524,train accuracy:61.534474%,valid loss:0.76641748,valid accuracy:63.571080%
loss is 0.766417, is decreasing!! save moddel
epoch:7707/50000,train loss:0.78816277,train accuracy:61.534831%,valid loss:0.76641206,valid accuracy:63.571561%
loss is 0.766412, is decreasing!! save moddel
epoch:7708/50000,train loss:0.78815935,train accuracy:61.535104%,valid loss:0.76640927,valid accuracy:63.571829%
loss is 0.766409, is decreasing!! save moddel
epoch:7709/50000,train loss:0.78815373,train accuracy:61.535468%,valid loss:0.76640576,valid accuracy:63.571879%
loss is 0.766406, is decreasing!! save moddel
epoch:7710/50000,train loss:0.78815040,train accuracy:61.535804%,valid loss:0.76640234,valid accuracy:63.571833%
loss is 0.766402, is decreasing!! save moddel
epoch:7711/50000,train loss:0.78814655,train accuracy:61.535983%,valid loss:0.76639774,valid accuracy:63.571782%
loss is 0.766398, is decreasing!! save moddel
epoch:7712/50000,train loss:0.78814172,train accuracy:61.536279%,valid loss:0.76639385,valid accuracy:63.571635%
loss is 0.766394, is decreasing!! save moddel
epoch:7713/50000,train loss:0.78813814,train accuracy:61.536663%,valid loss:0.76639781,valid accuracy:63.571367%
epoch:7714/50000,train loss:0.78813606,train accuracy:61.536837%,valid loss:0.76639253,valid accuracy:63.571630%
loss is 0.766393, is decreasing!! save moddel
epoch:7715/50000,train loss:0.78813374,train accuracy:61.536810%,valid loss:0.76639193,valid accuracy:63.571366%
loss is 0.766392, is decreasing!! save moddel
epoch:7716/50000,train loss:0.78812911,train accuracy:61.537001%,valid loss:0.76638865,valid accuracy:63.571310%
loss is 0.766389, is decreasing!! save moddel
epoch:7717/50000,train loss:0.78812266,train accuracy:61.537274%,valid loss:0.76638123,valid accuracy:63.572196%
loss is 0.766381, is decreasing!! save moddel
epoch:7718/50000,train loss:0.78811725,train accuracy:61.537944%,valid loss:0.76637609,valid accuracy:63.572559%
loss is 0.766376, is decreasing!! save moddel
epoch:7719/50000,train loss:0.78811410,train accuracy:61.538341%,valid loss:0.76637324,valid accuracy:63.572610%
loss is 0.766373, is decreasing!! save moddel
epoch:7720/50000,train loss:0.78811061,train accuracy:61.538697%,valid loss:0.76636882,valid accuracy:63.572766%
loss is 0.766369, is decreasing!! save moddel
epoch:7721/50000,train loss:0.78810553,train accuracy:61.539000%,valid loss:0.76636511,valid accuracy:63.572629%
loss is 0.766365, is decreasing!! save moddel
epoch:7722/50000,train loss:0.78810160,train accuracy:61.539409%,valid loss:0.76635839,valid accuracy:63.573118%
loss is 0.766358, is decreasing!! save moddel
epoch:7723/50000,train loss:0.78809937,train accuracy:61.539515%,valid loss:0.76635272,valid accuracy:63.573395%
loss is 0.766353, is decreasing!! save moddel
epoch:7724/50000,train loss:0.78809401,train accuracy:61.539770%,valid loss:0.76634994,valid accuracy:63.573273%
loss is 0.766350, is decreasing!! save moddel
epoch:7725/50000,train loss:0.78809320,train accuracy:61.539612%,valid loss:0.76635847,valid accuracy:63.572813%
epoch:7726/50000,train loss:0.78808838,train accuracy:61.540011%,valid loss:0.76635583,valid accuracy:63.572651%
epoch:7727/50000,train loss:0.78808458,train accuracy:61.540316%,valid loss:0.76635882,valid accuracy:63.572518%
epoch:7728/50000,train loss:0.78808008,train accuracy:61.540375%,valid loss:0.76635367,valid accuracy:63.572689%
epoch:7729/50000,train loss:0.78807566,train accuracy:61.540754%,valid loss:0.76635028,valid accuracy:63.572866%
epoch:7730/50000,train loss:0.78807113,train accuracy:61.541043%,valid loss:0.76635055,valid accuracy:63.572844%
epoch:7731/50000,train loss:0.78806707,train accuracy:61.541291%,valid loss:0.76634890,valid accuracy:63.573000%
loss is 0.766349, is decreasing!! save moddel
epoch:7732/50000,train loss:0.78806824,train accuracy:61.541317%,valid loss:0.76634854,valid accuracy:63.572752%
loss is 0.766349, is decreasing!! save moddel
epoch:7733/50000,train loss:0.78807195,train accuracy:61.540978%,valid loss:0.76634655,valid accuracy:63.572297%
loss is 0.766347, is decreasing!! save moddel
epoch:7734/50000,train loss:0.78807155,train accuracy:61.540916%,valid loss:0.76635056,valid accuracy:63.571944%
epoch:7735/50000,train loss:0.78806830,train accuracy:61.541063%,valid loss:0.76634837,valid accuracy:63.571681%
epoch:7736/50000,train loss:0.78807077,train accuracy:61.540894%,valid loss:0.76634978,valid accuracy:63.571231%
epoch:7737/50000,train loss:0.78806732,train accuracy:61.541124%,valid loss:0.76635191,valid accuracy:63.571392%
epoch:7738/50000,train loss:0.78806622,train accuracy:61.541190%,valid loss:0.76635534,valid accuracy:63.570953%
epoch:7739/50000,train loss:0.78807125,train accuracy:61.540798%,valid loss:0.76635223,valid accuracy:63.571220%
epoch:7740/50000,train loss:0.78807037,train accuracy:61.540743%,valid loss:0.76635066,valid accuracy:63.571698%
epoch:7741/50000,train loss:0.78806645,train accuracy:61.540943%,valid loss:0.76634734,valid accuracy:63.571960%
epoch:7742/50000,train loss:0.78806094,train accuracy:61.541113%,valid loss:0.76634578,valid accuracy:63.572520%
loss is 0.766346, is decreasing!! save moddel
epoch:7743/50000,train loss:0.78806039,train accuracy:61.540948%,valid loss:0.76634168,valid accuracy:63.572570%
loss is 0.766342, is decreasing!! save moddel
epoch:7744/50000,train loss:0.78805443,train accuracy:61.541478%,valid loss:0.76633920,valid accuracy:63.572817%
loss is 0.766339, is decreasing!! save moddel
epoch:7745/50000,train loss:0.78805189,train accuracy:61.541634%,valid loss:0.76633332,valid accuracy:63.573078%
loss is 0.766333, is decreasing!! save moddel
epoch:7746/50000,train loss:0.78804456,train accuracy:61.542090%,valid loss:0.76632877,valid accuracy:63.573637%
loss is 0.766329, is decreasing!! save moddel
epoch:7747/50000,train loss:0.78803895,train accuracy:61.542781%,valid loss:0.76632300,valid accuracy:63.573798%
loss is 0.766323, is decreasing!! save moddel
epoch:7748/50000,train loss:0.78803327,train accuracy:61.543068%,valid loss:0.76632174,valid accuracy:63.573964%
loss is 0.766322, is decreasing!! save moddel
epoch:7749/50000,train loss:0.78802835,train accuracy:61.543543%,valid loss:0.76631622,valid accuracy:63.574134%
loss is 0.766316, is decreasing!! save moddel
epoch:7750/50000,train loss:0.78802166,train accuracy:61.543870%,valid loss:0.76631079,valid accuracy:63.574270%
loss is 0.766311, is decreasing!! save moddel
epoch:7751/50000,train loss:0.78801596,train accuracy:61.544268%,valid loss:0.76630758,valid accuracy:63.574405%
loss is 0.766308, is decreasing!! save moddel
epoch:7752/50000,train loss:0.78800947,train accuracy:61.544506%,valid loss:0.76630433,valid accuracy:63.574652%
loss is 0.766304, is decreasing!! save moddel
epoch:7753/50000,train loss:0.78800725,train accuracy:61.544676%,valid loss:0.76629981,valid accuracy:63.574792%
loss is 0.766300, is decreasing!! save moddel
epoch:7754/50000,train loss:0.78800154,train accuracy:61.545043%,valid loss:0.76630006,valid accuracy:63.574525%
epoch:7755/50000,train loss:0.78799548,train accuracy:61.545182%,valid loss:0.76629665,valid accuracy:63.574897%
loss is 0.766297, is decreasing!! save moddel
epoch:7756/50000,train loss:0.78799753,train accuracy:61.545264%,valid loss:0.76629096,valid accuracy:63.575263%
loss is 0.766291, is decreasing!! save moddel
epoch:7757/50000,train loss:0.78799279,train accuracy:61.545575%,valid loss:0.76628709,valid accuracy:63.575534%
loss is 0.766287, is decreasing!! save moddel
epoch:7758/50000,train loss:0.78798775,train accuracy:61.545962%,valid loss:0.76629271,valid accuracy:63.575387%
epoch:7759/50000,train loss:0.78798505,train accuracy:61.545862%,valid loss:0.76628832,valid accuracy:63.575759%
epoch:7760/50000,train loss:0.78798516,train accuracy:61.545847%,valid loss:0.76628471,valid accuracy:63.576250%
loss is 0.766285, is decreasing!! save moddel
epoch:7761/50000,train loss:0.78799129,train accuracy:61.545522%,valid loss:0.76628564,valid accuracy:63.575872%
epoch:7762/50000,train loss:0.78799528,train accuracy:61.545443%,valid loss:0.76628673,valid accuracy:63.575519%
epoch:7763/50000,train loss:0.78799764,train accuracy:61.545354%,valid loss:0.76628251,valid accuracy:63.575679%
loss is 0.766283, is decreasing!! save moddel
epoch:7764/50000,train loss:0.78799274,train accuracy:61.545650%,valid loss:0.76627761,valid accuracy:63.576141%
loss is 0.766278, is decreasing!! save moddel
epoch:7765/50000,train loss:0.78798961,train accuracy:61.545733%,valid loss:0.76627481,valid accuracy:63.576009%
loss is 0.766275, is decreasing!! save moddel
epoch:7766/50000,train loss:0.78798645,train accuracy:61.546035%,valid loss:0.76626814,valid accuracy:63.576577%
loss is 0.766268, is decreasing!! save moddel
epoch:7767/50000,train loss:0.78798666,train accuracy:61.546270%,valid loss:0.76626647,valid accuracy:63.576229%
loss is 0.766266, is decreasing!! save moddel
epoch:7768/50000,train loss:0.78798702,train accuracy:61.546249%,valid loss:0.76626365,valid accuracy:63.576604%
loss is 0.766264, is decreasing!! save moddel
epoch:7769/50000,train loss:0.78798663,train accuracy:61.546686%,valid loss:0.76626210,valid accuracy:63.576870%
loss is 0.766262, is decreasing!! save moddel
epoch:7770/50000,train loss:0.78799074,train accuracy:61.546368%,valid loss:0.76626252,valid accuracy:63.576612%
epoch:7771/50000,train loss:0.78799124,train accuracy:61.546781%,valid loss:0.76626303,valid accuracy:63.576978%
epoch:7772/50000,train loss:0.78799443,train accuracy:61.546869%,valid loss:0.76626418,valid accuracy:63.577042%
epoch:7773/50000,train loss:0.78799770,train accuracy:61.546743%,valid loss:0.76626679,valid accuracy:63.576910%
epoch:7774/50000,train loss:0.78800108,train accuracy:61.546795%,valid loss:0.76626584,valid accuracy:63.576969%
epoch:7775/50000,train loss:0.78800495,train accuracy:61.546689%,valid loss:0.76626193,valid accuracy:63.576928%
loss is 0.766262, is decreasing!! save moddel
epoch:7776/50000,train loss:0.78800392,train accuracy:61.546804%,valid loss:0.76625903,valid accuracy:63.576767%
loss is 0.766259, is decreasing!! save moddel
epoch:7777/50000,train loss:0.78800093,train accuracy:61.547053%,valid loss:0.76625102,valid accuracy:63.577428%
loss is 0.766251, is decreasing!! save moddel
epoch:7778/50000,train loss:0.78799739,train accuracy:61.547426%,valid loss:0.76624353,valid accuracy:63.577688%
loss is 0.766244, is decreasing!! save moddel
epoch:7779/50000,train loss:0.78799578,train accuracy:61.547859%,valid loss:0.76623531,valid accuracy:63.578340%
loss is 0.766235, is decreasing!! save moddel
epoch:7780/50000,train loss:0.78799086,train accuracy:61.548087%,valid loss:0.76622756,valid accuracy:63.578820%
loss is 0.766228, is decreasing!! save moddel
epoch:7781/50000,train loss:0.78798708,train accuracy:61.548206%,valid loss:0.76622019,valid accuracy:63.579592%
loss is 0.766220, is decreasing!! save moddel
epoch:7782/50000,train loss:0.78798229,train accuracy:61.548531%,valid loss:0.76621275,valid accuracy:63.580162%
loss is 0.766213, is decreasing!! save moddel
epoch:7783/50000,train loss:0.78797749,train accuracy:61.548863%,valid loss:0.76621072,valid accuracy:63.580116%
loss is 0.766211, is decreasing!! save moddel
epoch:7784/50000,train loss:0.78797365,train accuracy:61.549148%,valid loss:0.76620654,valid accuracy:63.580250%
loss is 0.766207, is decreasing!! save moddel
epoch:7785/50000,train loss:0.78796944,train accuracy:61.549439%,valid loss:0.76619795,valid accuracy:63.581031%
loss is 0.766198, is decreasing!! save moddel
epoch:7786/50000,train loss:0.78797927,train accuracy:61.549082%,valid loss:0.76619690,valid accuracy:63.581195%
loss is 0.766197, is decreasing!! save moddel
epoch:7787/50000,train loss:0.78798304,train accuracy:61.549090%,valid loss:0.76619650,valid accuracy:63.581353%
loss is 0.766196, is decreasing!! save moddel
epoch:7788/50000,train loss:0.78798301,train accuracy:61.549058%,valid loss:0.76619354,valid accuracy:63.581737%
loss is 0.766194, is decreasing!! save moddel
epoch:7789/50000,train loss:0.78798199,train accuracy:61.549412%,valid loss:0.76619485,valid accuracy:63.581681%
epoch:7790/50000,train loss:0.78798532,train accuracy:61.549313%,valid loss:0.76619577,valid accuracy:63.581429%
epoch:7791/50000,train loss:0.78798611,train accuracy:61.549438%,valid loss:0.76619496,valid accuracy:63.581673%
epoch:7792/50000,train loss:0.78798368,train accuracy:61.550006%,valid loss:0.76620580,valid accuracy:63.581506%
epoch:7793/50000,train loss:0.78798177,train accuracy:61.550264%,valid loss:0.76620446,valid accuracy:63.581880%
epoch:7794/50000,train loss:0.78798186,train accuracy:61.550406%,valid loss:0.76621338,valid accuracy:63.581422%
epoch:7795/50000,train loss:0.78797982,train accuracy:61.550657%,valid loss:0.76621473,valid accuracy:63.581386%
epoch:7796/50000,train loss:0.78797565,train accuracy:61.551165%,valid loss:0.76621566,valid accuracy:63.581554%
epoch:7797/50000,train loss:0.78797733,train accuracy:61.551152%,valid loss:0.76622091,valid accuracy:63.581497%
epoch:7798/50000,train loss:0.78797659,train accuracy:61.551536%,valid loss:0.76622593,valid accuracy:63.581461%
epoch:7799/50000,train loss:0.78797392,train accuracy:61.551910%,valid loss:0.76623089,valid accuracy:63.581409%
epoch:7800/50000,train loss:0.78796949,train accuracy:61.552421%,valid loss:0.76623141,valid accuracy:63.581453%
epoch:7801/50000,train loss:0.78796366,train accuracy:61.552953%,valid loss:0.76623082,valid accuracy:63.581381%
epoch:7802/50000,train loss:0.78795779,train accuracy:61.553548%,valid loss:0.76623424,valid accuracy:63.581530%
epoch:7803/50000,train loss:0.78795483,train accuracy:61.553745%,valid loss:0.76624137,valid accuracy:63.581063%
epoch:7804/50000,train loss:0.78795829,train accuracy:61.553385%,valid loss:0.76623792,valid accuracy:63.581522%
epoch:7805/50000,train loss:0.78795104,train accuracy:61.554002%,valid loss:0.76625017,valid accuracy:63.581165%
epoch:7806/50000,train loss:0.78794469,train accuracy:61.554297%,valid loss:0.76624734,valid accuracy:63.581629%
epoch:7807/50000,train loss:0.78793722,train accuracy:61.554750%,valid loss:0.76624400,valid accuracy:63.582007%
epoch:7808/50000,train loss:0.78793242,train accuracy:61.555101%,valid loss:0.76624288,valid accuracy:63.582370%
epoch:7809/50000,train loss:0.78792735,train accuracy:61.555591%,valid loss:0.76624169,valid accuracy:63.582519%
epoch:7810/50000,train loss:0.78792322,train accuracy:61.555791%,valid loss:0.76624688,valid accuracy:63.582662%
epoch:7811/50000,train loss:0.78792539,train accuracy:61.555600%,valid loss:0.76624869,valid accuracy:63.582820%
epoch:7812/50000,train loss:0.78792623,train accuracy:61.555620%,valid loss:0.76624911,valid accuracy:63.583383%
epoch:7813/50000,train loss:0.78793003,train accuracy:61.555436%,valid loss:0.76624927,valid accuracy:63.583646%
epoch:7814/50000,train loss:0.78792872,train accuracy:61.555667%,valid loss:0.76625080,valid accuracy:63.583704%
epoch:7815/50000,train loss:0.78792811,train accuracy:61.555840%,valid loss:0.76624760,valid accuracy:63.583757%
epoch:7816/50000,train loss:0.78792607,train accuracy:61.556006%,valid loss:0.76624954,valid accuracy:63.583610%
epoch:7817/50000,train loss:0.78792336,train accuracy:61.556399%,valid loss:0.76625825,valid accuracy:63.583359%
epoch:7818/50000,train loss:0.78792324,train accuracy:61.556422%,valid loss:0.76625603,valid accuracy:63.583707%
epoch:7819/50000,train loss:0.78792153,train accuracy:61.556618%,valid loss:0.76625771,valid accuracy:63.583954%
epoch:7820/50000,train loss:0.78791928,train accuracy:61.556914%,valid loss:0.76625695,valid accuracy:63.584237%
epoch:7821/50000,train loss:0.78791696,train accuracy:61.557287%,valid loss:0.76625699,valid accuracy:63.584205%
epoch:7822/50000,train loss:0.78791572,train accuracy:61.557483%,valid loss:0.76625792,valid accuracy:63.584367%
epoch:7823/50000,train loss:0.78791732,train accuracy:61.557630%,valid loss:0.76626327,valid accuracy:63.584320%
epoch:7824/50000,train loss:0.78791674,train accuracy:61.557647%,valid loss:0.76626714,valid accuracy:63.584368%
epoch:7825/50000,train loss:0.78791706,train accuracy:61.557571%,valid loss:0.76626548,valid accuracy:63.584616%
epoch:7826/50000,train loss:0.78791154,train accuracy:61.557893%,valid loss:0.76626682,valid accuracy:63.584055%
epoch:7827/50000,train loss:0.78790676,train accuracy:61.558249%,valid loss:0.76626265,valid accuracy:63.584003%
epoch:7828/50000,train loss:0.78790318,train accuracy:61.558538%,valid loss:0.76626006,valid accuracy:63.584431%
epoch:7829/50000,train loss:0.78789532,train accuracy:61.559265%,valid loss:0.76625583,valid accuracy:63.584508%
epoch:7830/50000,train loss:0.78788739,train accuracy:61.559836%,valid loss:0.76625092,valid accuracy:63.584880%
epoch:7831/50000,train loss:0.78787914,train accuracy:61.560531%,valid loss:0.76624612,valid accuracy:63.584904%
epoch:7832/50000,train loss:0.78786997,train accuracy:61.561109%,valid loss:0.76624135,valid accuracy:63.584881%
epoch:7833/50000,train loss:0.78786177,train accuracy:61.561722%,valid loss:0.76624151,valid accuracy:63.584929%
epoch:7834/50000,train loss:0.78785882,train accuracy:61.561784%,valid loss:0.76623684,valid accuracy:63.585600%
epoch:7835/50000,train loss:0.78785086,train accuracy:61.562230%,valid loss:0.76623590,valid accuracy:63.585847%
epoch:7836/50000,train loss:0.78784484,train accuracy:61.562634%,valid loss:0.76622999,valid accuracy:63.586422%
epoch:7837/50000,train loss:0.78783548,train accuracy:61.563413%,valid loss:0.76622374,valid accuracy:63.587197%
epoch:7838/50000,train loss:0.78782818,train accuracy:61.563878%,valid loss:0.76621750,valid accuracy:63.587773%
epoch:7839/50000,train loss:0.78782084,train accuracy:61.564295%,valid loss:0.76621293,valid accuracy:63.588139%
epoch:7840/50000,train loss:0.78781365,train accuracy:61.564855%,valid loss:0.76620734,valid accuracy:63.588514%
epoch:7841/50000,train loss:0.78780655,train accuracy:61.565312%,valid loss:0.76620819,valid accuracy:63.588333%
epoch:7842/50000,train loss:0.78780017,train accuracy:61.565910%,valid loss:0.76620358,valid accuracy:63.588509%
epoch:7843/50000,train loss:0.78779339,train accuracy:61.566314%,valid loss:0.76619989,valid accuracy:63.588452%
epoch:7844/50000,train loss:0.78778374,train accuracy:61.567055%,valid loss:0.76619495,valid accuracy:63.588898%
epoch:7845/50000,train loss:0.78777952,train accuracy:61.567538%,valid loss:0.76618890,valid accuracy:63.589468%
loss is 0.766189, is decreasing!! save moddel
epoch:7846/50000,train loss:0.78776932,train accuracy:61.568316%,valid loss:0.76618333,valid accuracy:63.589913%
loss is 0.766183, is decreasing!! save moddel
epoch:7847/50000,train loss:0.78776053,train accuracy:61.569057%,valid loss:0.76617849,valid accuracy:63.590155%
loss is 0.766178, is decreasing!! save moddel
epoch:7848/50000,train loss:0.78775461,train accuracy:61.569456%,valid loss:0.76617185,valid accuracy:63.590719%
loss is 0.766172, is decreasing!! save moddel
epoch:7849/50000,train loss:0.78774823,train accuracy:61.569900%,valid loss:0.76616602,valid accuracy:63.591060%
loss is 0.766166, is decreasing!! save moddel
epoch:7850/50000,train loss:0.78774213,train accuracy:61.570502%,valid loss:0.76615838,valid accuracy:63.591713%
loss is 0.766158, is decreasing!! save moddel
epoch:7851/50000,train loss:0.78773296,train accuracy:61.571193%,valid loss:0.76615261,valid accuracy:63.592671%
loss is 0.766153, is decreasing!! save moddel
epoch:7852/50000,train loss:0.78772790,train accuracy:61.571487%,valid loss:0.76615199,valid accuracy:63.592310%
loss is 0.766152, is decreasing!! save moddel
epoch:7853/50000,train loss:0.78772447,train accuracy:61.571789%,valid loss:0.76614474,valid accuracy:63.592934%
loss is 0.766145, is decreasing!! save moddel
epoch:7854/50000,train loss:0.78771984,train accuracy:61.572022%,valid loss:0.76614239,valid accuracy:63.593085%
loss is 0.766142, is decreasing!! save moddel
epoch:7855/50000,train loss:0.78771980,train accuracy:61.572328%,valid loss:0.76613794,valid accuracy:63.593529%
loss is 0.766138, is decreasing!! save moddel
epoch:7856/50000,train loss:0.78772157,train accuracy:61.572147%,valid loss:0.76613489,valid accuracy:63.593501%
loss is 0.766135, is decreasing!! save moddel
epoch:7857/50000,train loss:0.78771926,train accuracy:61.572592%,valid loss:0.76613398,valid accuracy:63.593259%
loss is 0.766134, is decreasing!! save moddel
epoch:7858/50000,train loss:0.78771673,train accuracy:61.572886%,valid loss:0.76613110,valid accuracy:63.593400%
loss is 0.766131, is decreasing!! save moddel
epoch:7859/50000,train loss:0.78771511,train accuracy:61.572897%,valid loss:0.76613283,valid accuracy:63.593129%
epoch:7860/50000,train loss:0.78771482,train accuracy:61.573141%,valid loss:0.76612878,valid accuracy:63.594000%
loss is 0.766129, is decreasing!! save moddel
epoch:7861/50000,train loss:0.78771586,train accuracy:61.573418%,valid loss:0.76613157,valid accuracy:63.593426%
epoch:7862/50000,train loss:0.78771913,train accuracy:61.573333%,valid loss:0.76612794,valid accuracy:63.594098%
loss is 0.766128, is decreasing!! save moddel
epoch:7863/50000,train loss:0.78771962,train accuracy:61.573361%,valid loss:0.76612371,valid accuracy:63.594562%
loss is 0.766124, is decreasing!! save moddel
epoch:7864/50000,train loss:0.78771826,train accuracy:61.573594%,valid loss:0.76611931,valid accuracy:63.595129%
loss is 0.766119, is decreasing!! save moddel
epoch:7865/50000,train loss:0.78771678,train accuracy:61.573916%,valid loss:0.76612169,valid accuracy:63.594778%
epoch:7866/50000,train loss:0.78771765,train accuracy:61.573736%,valid loss:0.76611447,valid accuracy:63.595440%
loss is 0.766114, is decreasing!! save moddel
epoch:7867/50000,train loss:0.78771137,train accuracy:61.574289%,valid loss:0.76610673,valid accuracy:63.596206%
loss is 0.766107, is decreasing!! save moddel
epoch:7868/50000,train loss:0.78770557,train accuracy:61.574886%,valid loss:0.76610092,valid accuracy:63.596773%
loss is 0.766101, is decreasing!! save moddel
epoch:7869/50000,train loss:0.78770226,train accuracy:61.575139%,valid loss:0.76610685,valid accuracy:63.595986%
epoch:7870/50000,train loss:0.78769951,train accuracy:61.575238%,valid loss:0.76610742,valid accuracy:63.595516%
epoch:7871/50000,train loss:0.78769713,train accuracy:61.575306%,valid loss:0.76609938,valid accuracy:63.596277%
loss is 0.766099, is decreasing!! save moddel
epoch:7872/50000,train loss:0.78769112,train accuracy:61.575378%,valid loss:0.76609322,valid accuracy:63.596839%
loss is 0.766093, is decreasing!! save moddel
epoch:7873/50000,train loss:0.78768900,train accuracy:61.575498%,valid loss:0.76608432,valid accuracy:63.597797%
loss is 0.766084, is decreasing!! save moddel
epoch:7874/50000,train loss:0.78768101,train accuracy:61.575962%,valid loss:0.76607753,valid accuracy:63.598662%
loss is 0.766078, is decreasing!! save moddel
epoch:7875/50000,train loss:0.78767634,train accuracy:61.576061%,valid loss:0.76606982,valid accuracy:63.599402%
loss is 0.766070, is decreasing!! save moddel
epoch:7876/50000,train loss:0.78767245,train accuracy:61.576401%,valid loss:0.76606391,valid accuracy:63.599859%
loss is 0.766064, is decreasing!! save moddel
epoch:7877/50000,train loss:0.78766623,train accuracy:61.576838%,valid loss:0.76605645,valid accuracy:63.601243%
loss is 0.766056, is decreasing!! save moddel
epoch:7878/50000,train loss:0.78766120,train accuracy:61.577176%,valid loss:0.76604851,valid accuracy:63.601898%
loss is 0.766049, is decreasing!! save moddel
epoch:7879/50000,train loss:0.78765404,train accuracy:61.577540%,valid loss:0.76604002,valid accuracy:63.602558%
loss is 0.766040, is decreasing!! save moddel
epoch:7880/50000,train loss:0.78764539,train accuracy:61.578106%,valid loss:0.76603926,valid accuracy:63.602301%
loss is 0.766039, is decreasing!! save moddel
epoch:7881/50000,train loss:0.78764123,train accuracy:61.578341%,valid loss:0.76603292,valid accuracy:63.602638%
loss is 0.766033, is decreasing!! save moddel
epoch:7882/50000,train loss:0.78764403,train accuracy:61.578200%,valid loss:0.76602911,valid accuracy:63.603407%
loss is 0.766029, is decreasing!! save moddel
epoch:7883/50000,train loss:0.78763960,train accuracy:61.578498%,valid loss:0.76602231,valid accuracy:63.604245%
loss is 0.766022, is decreasing!! save moddel
epoch:7884/50000,train loss:0.78763580,train accuracy:61.578756%,valid loss:0.76601450,valid accuracy:63.605097%
loss is 0.766015, is decreasing!! save moddel
epoch:7885/50000,train loss:0.78763110,train accuracy:61.578980%,valid loss:0.76600994,valid accuracy:63.605969%
loss is 0.766010, is decreasing!! save moddel
epoch:7886/50000,train loss:0.78762639,train accuracy:61.579344%,valid loss:0.76600613,valid accuracy:63.606330%
loss is 0.766006, is decreasing!! save moddel
epoch:7887/50000,train loss:0.78762435,train accuracy:61.579746%,valid loss:0.76599853,valid accuracy:63.606979%
loss is 0.765999, is decreasing!! save moddel
epoch:7888/50000,train loss:0.78761730,train accuracy:61.580093%,valid loss:0.76599202,valid accuracy:63.607232%
loss is 0.765992, is decreasing!! save moddel
epoch:7889/50000,train loss:0.78761915,train accuracy:61.579865%,valid loss:0.76598495,valid accuracy:63.607767%
loss is 0.765985, is decreasing!! save moddel
epoch:7890/50000,train loss:0.78761253,train accuracy:61.580568%,valid loss:0.76597681,valid accuracy:63.608821%
loss is 0.765977, is decreasing!! save moddel
epoch:7891/50000,train loss:0.78760578,train accuracy:61.580928%,valid loss:0.76596871,valid accuracy:63.609375%
loss is 0.765969, is decreasing!! save moddel
epoch:7892/50000,train loss:0.78760332,train accuracy:61.581034%,valid loss:0.76596210,valid accuracy:63.609656%
loss is 0.765962, is decreasing!! save moddel
epoch:7893/50000,train loss:0.78759606,train accuracy:61.581684%,valid loss:0.76595461,valid accuracy:63.610522%
loss is 0.765955, is decreasing!! save moddel
epoch:7894/50000,train loss:0.78759780,train accuracy:61.581710%,valid loss:0.76594787,valid accuracy:63.610967%
loss is 0.765948, is decreasing!! save moddel
epoch:7895/50000,train loss:0.78759300,train accuracy:61.581763%,valid loss:0.76593808,valid accuracy:63.611752%
loss is 0.765938, is decreasing!! save moddel
epoch:7896/50000,train loss:0.78758719,train accuracy:61.582152%,valid loss:0.76592805,valid accuracy:63.612528%
loss is 0.765928, is decreasing!! save moddel
epoch:7897/50000,train loss:0.78758028,train accuracy:61.582771%,valid loss:0.76592190,valid accuracy:63.612922%
loss is 0.765922, is decreasing!! save moddel
epoch:7898/50000,train loss:0.78757182,train accuracy:61.583497%,valid loss:0.76591249,valid accuracy:63.613786%
loss is 0.765912, is decreasing!! save moddel
epoch:7899/50000,train loss:0.78756462,train accuracy:61.584100%,valid loss:0.76590637,valid accuracy:63.614033%
loss is 0.765906, is decreasing!! save moddel
epoch:7900/50000,train loss:0.78755408,train accuracy:61.584700%,valid loss:0.76589530,valid accuracy:63.615000%
loss is 0.765895, is decreasing!! save moddel
epoch:7901/50000,train loss:0.78754724,train accuracy:61.585240%,valid loss:0.76588552,valid accuracy:63.615657%
loss is 0.765886, is decreasing!! save moddel
epoch:7902/50000,train loss:0.78754220,train accuracy:61.585853%,valid loss:0.76587593,valid accuracy:63.616605%
loss is 0.765876, is decreasing!! save moddel
epoch:7903/50000,train loss:0.78753242,train accuracy:61.586602%,valid loss:0.76586827,valid accuracy:63.617068%
loss is 0.765868, is decreasing!! save moddel
epoch:7904/50000,train loss:0.78752411,train accuracy:61.586947%,valid loss:0.76585925,valid accuracy:63.617639%
loss is 0.765859, is decreasing!! save moddel
epoch:7905/50000,train loss:0.78751576,train accuracy:61.587453%,valid loss:0.76585411,valid accuracy:63.617717%
loss is 0.765854, is decreasing!! save moddel
epoch:7906/50000,train loss:0.78750868,train accuracy:61.587950%,valid loss:0.76584451,valid accuracy:63.618481%
loss is 0.765845, is decreasing!! save moddel
epoch:7907/50000,train loss:0.78750179,train accuracy:61.588104%,valid loss:0.76583568,valid accuracy:63.619235%
loss is 0.765836, is decreasing!! save moddel
epoch:7908/50000,train loss:0.78749334,train accuracy:61.588665%,valid loss:0.76583053,valid accuracy:63.619278%
loss is 0.765831, is decreasing!! save moddel
epoch:7909/50000,train loss:0.78748344,train accuracy:61.589266%,valid loss:0.76582365,valid accuracy:63.619523%
loss is 0.765824, is decreasing!! save moddel
epoch:7910/50000,train loss:0.78747968,train accuracy:61.589403%,valid loss:0.76581545,valid accuracy:63.619981%
loss is 0.765815, is decreasing!! save moddel
epoch:7911/50000,train loss:0.78747521,train accuracy:61.589586%,valid loss:0.76580769,valid accuracy:63.620626%
loss is 0.765808, is decreasing!! save moddel
epoch:7912/50000,train loss:0.78746929,train accuracy:61.589839%,valid loss:0.76580256,valid accuracy:63.620862%
loss is 0.765803, is decreasing!! save moddel
epoch:7913/50000,train loss:0.78746156,train accuracy:61.590344%,valid loss:0.76579483,valid accuracy:63.622231%
loss is 0.765795, is decreasing!! save moddel
epoch:7914/50000,train loss:0.78745484,train accuracy:61.591110%,valid loss:0.76578759,valid accuracy:63.622481%
loss is 0.765788, is decreasing!! save moddel
epoch:7915/50000,train loss:0.78744737,train accuracy:61.591806%,valid loss:0.76577736,valid accuracy:63.623530%
loss is 0.765777, is decreasing!! save moddel
epoch:7916/50000,train loss:0.78743847,train accuracy:61.592332%,valid loss:0.76576758,valid accuracy:63.624598%
loss is 0.765768, is decreasing!! save moddel
epoch:7917/50000,train loss:0.78743018,train accuracy:61.592857%,valid loss:0.76575823,valid accuracy:63.625637%
loss is 0.765758, is decreasing!! save moddel
epoch:7918/50000,train loss:0.78742357,train accuracy:61.593424%,valid loss:0.76574915,valid accuracy:63.626389%
loss is 0.765749, is decreasing!! save moddel
epoch:7919/50000,train loss:0.78742181,train accuracy:61.593637%,valid loss:0.76574096,valid accuracy:63.627033%
loss is 0.765741, is decreasing!! save moddel
epoch:7920/50000,train loss:0.78741411,train accuracy:61.594092%,valid loss:0.76573143,valid accuracy:63.627785%
loss is 0.765731, is decreasing!! save moddel
epoch:7921/50000,train loss:0.78740690,train accuracy:61.594321%,valid loss:0.76572311,valid accuracy:63.629241%
loss is 0.765723, is decreasing!! save moddel
epoch:7922/50000,train loss:0.78740425,train accuracy:61.594720%,valid loss:0.76571731,valid accuracy:63.629509%
loss is 0.765717, is decreasing!! save moddel
epoch:7923/50000,train loss:0.78739566,train accuracy:61.595377%,valid loss:0.76570773,valid accuracy:63.630157%
loss is 0.765708, is decreasing!! save moddel
epoch:7924/50000,train loss:0.78739128,train accuracy:61.595641%,valid loss:0.76569829,valid accuracy:63.631209%
loss is 0.765698, is decreasing!! save moddel
epoch:7925/50000,train loss:0.78738314,train accuracy:61.596279%,valid loss:0.76569751,valid accuracy:63.631250%
loss is 0.765698, is decreasing!! save moddel
epoch:7926/50000,train loss:0.78737403,train accuracy:61.596964%,valid loss:0.76568744,valid accuracy:63.632715%
loss is 0.765687, is decreasing!! save moddel
epoch:7927/50000,train loss:0.78736790,train accuracy:61.597841%,valid loss:0.76567739,valid accuracy:63.633555%
loss is 0.765677, is decreasing!! save moddel
epoch:7928/50000,train loss:0.78736156,train accuracy:61.598292%,valid loss:0.76566672,valid accuracy:63.634625%
loss is 0.765667, is decreasing!! save moddel
epoch:7929/50000,train loss:0.78735290,train accuracy:61.598628%,valid loss:0.76565624,valid accuracy:63.635370%
loss is 0.765656, is decreasing!! save moddel
epoch:7930/50000,train loss:0.78734366,train accuracy:61.599413%,valid loss:0.76564564,valid accuracy:63.636125%
loss is 0.765646, is decreasing!! save moddel
epoch:7931/50000,train loss:0.78733641,train accuracy:61.600005%,valid loss:0.76563554,valid accuracy:63.636668%
loss is 0.765636, is decreasing!! save moddel
epoch:7932/50000,train loss:0.78732882,train accuracy:61.600538%,valid loss:0.76562554,valid accuracy:63.637117%
loss is 0.765626, is decreasing!! save moddel
epoch:7933/50000,train loss:0.78731953,train accuracy:61.601270%,valid loss:0.76561299,valid accuracy:63.638083%
loss is 0.765613, is decreasing!! save moddel
epoch:7934/50000,train loss:0.78731585,train accuracy:61.601183%,valid loss:0.76560124,valid accuracy:63.638949%
loss is 0.765601, is decreasing!! save moddel
epoch:7935/50000,train loss:0.78730748,train accuracy:61.601742%,valid loss:0.76559440,valid accuracy:63.639014%
loss is 0.765594, is decreasing!! save moddel
epoch:7936/50000,train loss:0.78730262,train accuracy:61.602158%,valid loss:0.76558253,valid accuracy:63.639768%
loss is 0.765583, is decreasing!! save moddel
epoch:7937/50000,train loss:0.78729670,train accuracy:61.602523%,valid loss:0.76557159,valid accuracy:63.640841%
loss is 0.765572, is decreasing!! save moddel
epoch:7938/50000,train loss:0.78729038,train accuracy:61.602851%,valid loss:0.76556260,valid accuracy:63.641097%
loss is 0.765563, is decreasing!! save moddel
epoch:7939/50000,train loss:0.78728016,train accuracy:61.603582%,valid loss:0.76555488,valid accuracy:63.641329%
loss is 0.765555, is decreasing!! save moddel
epoch:7940/50000,train loss:0.78726986,train accuracy:61.604317%,valid loss:0.76555534,valid accuracy:63.641276%
epoch:7941/50000,train loss:0.78726556,train accuracy:61.604708%,valid loss:0.76554872,valid accuracy:63.641292%
loss is 0.765549, is decreasing!! save moddel
epoch:7942/50000,train loss:0.78726133,train accuracy:61.605160%,valid loss:0.76554080,valid accuracy:63.641435%
loss is 0.765541, is decreasing!! save moddel
epoch:7943/50000,train loss:0.78725428,train accuracy:61.605875%,valid loss:0.76553889,valid accuracy:63.641578%
loss is 0.765539, is decreasing!! save moddel
epoch:7944/50000,train loss:0.78725232,train accuracy:61.606052%,valid loss:0.76553236,valid accuracy:63.641731%
loss is 0.765532, is decreasing!! save moddel
epoch:7945/50000,train loss:0.78724520,train accuracy:61.606596%,valid loss:0.76552319,valid accuracy:63.642700%
loss is 0.765523, is decreasing!! save moddel
epoch:7946/50000,train loss:0.78723699,train accuracy:61.607356%,valid loss:0.76551320,valid accuracy:63.643462%
loss is 0.765513, is decreasing!! save moddel
epoch:7947/50000,train loss:0.78723159,train accuracy:61.607756%,valid loss:0.76550449,valid accuracy:63.644813%
loss is 0.765504, is decreasing!! save moddel
epoch:7948/50000,train loss:0.78722497,train accuracy:61.608215%,valid loss:0.76549563,valid accuracy:63.645551%
loss is 0.765496, is decreasing!! save moddel
epoch:7949/50000,train loss:0.78722026,train accuracy:61.608684%,valid loss:0.76549141,valid accuracy:63.645605%
loss is 0.765491, is decreasing!! save moddel
epoch:7950/50000,train loss:0.78721125,train accuracy:61.609352%,valid loss:0.76548391,valid accuracy:63.646528%
loss is 0.765484, is decreasing!! save moddel
epoch:7951/50000,train loss:0.78721413,train accuracy:61.609240%,valid loss:0.76547548,valid accuracy:63.647392%
loss is 0.765475, is decreasing!! save moddel
epoch:7952/50000,train loss:0.78721059,train accuracy:61.609361%,valid loss:0.76546903,valid accuracy:63.647751%
loss is 0.765469, is decreasing!! save moddel
epoch:7953/50000,train loss:0.78721083,train accuracy:61.609537%,valid loss:0.76546996,valid accuracy:63.647098%
epoch:7954/50000,train loss:0.78720839,train accuracy:61.609533%,valid loss:0.76546653,valid accuracy:63.647858%
loss is 0.765467, is decreasing!! save moddel
epoch:7955/50000,train loss:0.78720819,train accuracy:61.609430%,valid loss:0.76546237,valid accuracy:63.648702%
loss is 0.765462, is decreasing!! save moddel
epoch:7956/50000,train loss:0.78721535,train accuracy:61.608968%,valid loss:0.76545851,valid accuracy:63.649546%
loss is 0.765459, is decreasing!! save moddel
epoch:7957/50000,train loss:0.78721249,train accuracy:61.609044%,valid loss:0.76545458,valid accuracy:63.650100%
loss is 0.765455, is decreasing!! save moddel
epoch:7958/50000,train loss:0.78720889,train accuracy:61.609351%,valid loss:0.76545329,valid accuracy:63.649845%
loss is 0.765453, is decreasing!! save moddel
epoch:7959/50000,train loss:0.78720254,train accuracy:61.609845%,valid loss:0.76544759,valid accuracy:63.650487%
loss is 0.765448, is decreasing!! save moddel
epoch:7960/50000,train loss:0.78720173,train accuracy:61.610181%,valid loss:0.76544386,valid accuracy:63.651021%
loss is 0.765444, is decreasing!! save moddel
epoch:7961/50000,train loss:0.78719688,train accuracy:61.610491%,valid loss:0.76543867,valid accuracy:63.651977%
loss is 0.765439, is decreasing!! save moddel
epoch:7962/50000,train loss:0.78719594,train accuracy:61.610386%,valid loss:0.76543534,valid accuracy:63.651736%
loss is 0.765435, is decreasing!! save moddel
epoch:7963/50000,train loss:0.78719236,train accuracy:61.610788%,valid loss:0.76542766,valid accuracy:63.652289%
loss is 0.765428, is decreasing!! save moddel
epoch:7964/50000,train loss:0.78718524,train accuracy:61.611278%,valid loss:0.76542244,valid accuracy:63.652838%
loss is 0.765422, is decreasing!! save moddel
epoch:7965/50000,train loss:0.78718181,train accuracy:61.611618%,valid loss:0.76541790,valid accuracy:63.653087%
loss is 0.765418, is decreasing!! save moddel
epoch:7966/50000,train loss:0.78718019,train accuracy:61.611624%,valid loss:0.76541078,valid accuracy:63.653546%
loss is 0.765411, is decreasing!! save moddel
epoch:7967/50000,train loss:0.78717932,train accuracy:61.611810%,valid loss:0.76540434,valid accuracy:63.654168%
loss is 0.765404, is decreasing!! save moddel
epoch:7968/50000,train loss:0.78717726,train accuracy:61.611855%,valid loss:0.76540104,valid accuracy:63.654192%
loss is 0.765401, is decreasing!! save moddel
epoch:7969/50000,train loss:0.78718086,train accuracy:61.611626%,valid loss:0.76539404,valid accuracy:63.654922%
loss is 0.765394, is decreasing!! save moddel
epoch:7970/50000,train loss:0.78717465,train accuracy:61.612072%,valid loss:0.76539300,valid accuracy:63.654676%
loss is 0.765393, is decreasing!! save moddel
epoch:7971/50000,train loss:0.78717686,train accuracy:61.611853%,valid loss:0.76541466,valid accuracy:63.653617%
epoch:7972/50000,train loss:0.78718149,train accuracy:61.611327%,valid loss:0.76541097,valid accuracy:63.654076%
epoch:7973/50000,train loss:0.78717991,train accuracy:61.611647%,valid loss:0.76540433,valid accuracy:63.654423%
epoch:7974/50000,train loss:0.78717454,train accuracy:61.611976%,valid loss:0.76540361,valid accuracy:63.654251%
epoch:7975/50000,train loss:0.78716989,train accuracy:61.612693%,valid loss:0.76539791,valid accuracy:63.653985%
epoch:7976/50000,train loss:0.78716517,train accuracy:61.613021%,valid loss:0.76538848,valid accuracy:63.654934%
loss is 0.765388, is decreasing!! save moddel
epoch:7977/50000,train loss:0.78715877,train accuracy:61.613415%,valid loss:0.76538459,valid accuracy:63.654889%
loss is 0.765385, is decreasing!! save moddel
epoch:7978/50000,train loss:0.78715235,train accuracy:61.613872%,valid loss:0.76537671,valid accuracy:63.655935%
loss is 0.765377, is decreasing!! save moddel
epoch:7979/50000,train loss:0.78715405,train accuracy:61.613650%,valid loss:0.76537093,valid accuracy:63.656463%
loss is 0.765371, is decreasing!! save moddel
epoch:7980/50000,train loss:0.78714804,train accuracy:61.614187%,valid loss:0.76536661,valid accuracy:63.656100%
loss is 0.765367, is decreasing!! save moddel
epoch:7981/50000,train loss:0.78714807,train accuracy:61.614063%,valid loss:0.76536163,valid accuracy:63.656260%
loss is 0.765362, is decreasing!! save moddel
epoch:7982/50000,train loss:0.78714206,train accuracy:61.614413%,valid loss:0.76535963,valid accuracy:63.656107%
loss is 0.765360, is decreasing!! save moddel
epoch:7983/50000,train loss:0.78713638,train accuracy:61.614674%,valid loss:0.76535447,valid accuracy:63.656355%
loss is 0.765354, is decreasing!! save moddel
epoch:7984/50000,train loss:0.78713214,train accuracy:61.615143%,valid loss:0.76534936,valid accuracy:63.657498%
loss is 0.765349, is decreasing!! save moddel
epoch:7985/50000,train loss:0.78712947,train accuracy:61.615429%,valid loss:0.76534971,valid accuracy:63.657345%
epoch:7986/50000,train loss:0.78712333,train accuracy:61.615902%,valid loss:0.76535446,valid accuracy:63.657070%
epoch:7987/50000,train loss:0.78711960,train accuracy:61.616220%,valid loss:0.76535273,valid accuracy:63.657015%
epoch:7988/50000,train loss:0.78711794,train accuracy:61.616369%,valid loss:0.76534901,valid accuracy:63.657077%
loss is 0.765349, is decreasing!! save moddel
epoch:7989/50000,train loss:0.78711539,train accuracy:61.616668%,valid loss:0.76534655,valid accuracy:63.657022%
loss is 0.765347, is decreasing!! save moddel
epoch:7990/50000,train loss:0.78711499,train accuracy:61.616671%,valid loss:0.76535083,valid accuracy:63.656166%
epoch:7991/50000,train loss:0.78711977,train accuracy:61.616704%,valid loss:0.76535082,valid accuracy:63.655710%
epoch:7992/50000,train loss:0.78711551,train accuracy:61.616951%,valid loss:0.76534422,valid accuracy:63.656359%
loss is 0.765344, is decreasing!! save moddel
epoch:7993/50000,train loss:0.78711282,train accuracy:61.616934%,valid loss:0.76533605,valid accuracy:63.657017%
loss is 0.765336, is decreasing!! save moddel
epoch:7994/50000,train loss:0.78710587,train accuracy:61.617416%,valid loss:0.76533472,valid accuracy:63.656738%
loss is 0.765335, is decreasing!! save moddel
epoch:7995/50000,train loss:0.78709931,train accuracy:61.617718%,valid loss:0.76533075,valid accuracy:63.656697%
loss is 0.765331, is decreasing!! save moddel
epoch:7996/50000,train loss:0.78709223,train accuracy:61.618349%,valid loss:0.76532195,valid accuracy:63.657355%
loss is 0.765322, is decreasing!! save moddel
epoch:7997/50000,train loss:0.78708465,train accuracy:61.619027%,valid loss:0.76531530,valid accuracy:63.657793%
loss is 0.765315, is decreasing!! save moddel
epoch:7998/50000,train loss:0.78707844,train accuracy:61.619423%,valid loss:0.76531000,valid accuracy:63.657840%
loss is 0.765310, is decreasing!! save moddel
epoch:7999/50000,train loss:0.78707192,train accuracy:61.619965%,valid loss:0.76530073,valid accuracy:63.658498%
loss is 0.765301, is decreasing!! save moddel
epoch:8000/50000,train loss:0.78707036,train accuracy:61.620403%,valid loss:0.76529415,valid accuracy:63.659150%
loss is 0.765294, is decreasing!! save moddel
epoch:8001/50000,train loss:0.78706436,train accuracy:61.620662%,valid loss:0.76528630,valid accuracy:63.659993%
loss is 0.765286, is decreasing!! save moddel
epoch:8002/50000,train loss:0.78706310,train accuracy:61.620543%,valid loss:0.76527760,valid accuracy:63.660928%
loss is 0.765278, is decreasing!! save moddel
epoch:8003/50000,train loss:0.78705702,train accuracy:61.620861%,valid loss:0.76527142,valid accuracy:63.661361%
loss is 0.765271, is decreasing!! save moddel
epoch:8004/50000,train loss:0.78705296,train accuracy:61.621334%,valid loss:0.76526388,valid accuracy:63.662212%
loss is 0.765264, is decreasing!! save moddel
epoch:8005/50000,train loss:0.78705499,train accuracy:61.620932%,valid loss:0.76525749,valid accuracy:63.662249%
loss is 0.765257, is decreasing!! save moddel
epoch:8006/50000,train loss:0.78705715,train accuracy:61.620853%,valid loss:0.76525066,valid accuracy:63.662203%
loss is 0.765251, is decreasing!! save moddel
epoch:8007/50000,train loss:0.78705179,train accuracy:61.620848%,valid loss:0.76524248,valid accuracy:63.662743%
loss is 0.765242, is decreasing!! save moddel
epoch:8008/50000,train loss:0.78704612,train accuracy:61.621222%,valid loss:0.76523874,valid accuracy:63.662897%
loss is 0.765239, is decreasing!! save moddel
epoch:8009/50000,train loss:0.78704358,train accuracy:61.621402%,valid loss:0.76523004,valid accuracy:63.663645%
loss is 0.765230, is decreasing!! save moddel
epoch:8010/50000,train loss:0.78703668,train accuracy:61.621811%,valid loss:0.76522277,valid accuracy:63.664087%
loss is 0.765223, is decreasing!! save moddel
epoch:8011/50000,train loss:0.78703663,train accuracy:61.621845%,valid loss:0.76521378,valid accuracy:63.664630%
loss is 0.765214, is decreasing!! save moddel
epoch:8012/50000,train loss:0.78702706,train accuracy:61.622321%,valid loss:0.76520472,valid accuracy:63.665169%
loss is 0.765205, is decreasing!! save moddel
epoch:8013/50000,train loss:0.78701815,train accuracy:61.622963%,valid loss:0.76519538,valid accuracy:63.665703%
loss is 0.765195, is decreasing!! save moddel
epoch:8014/50000,train loss:0.78700872,train accuracy:61.623396%,valid loss:0.76519167,valid accuracy:63.665749%
loss is 0.765192, is decreasing!! save moddel
epoch:8015/50000,train loss:0.78699908,train accuracy:61.623835%,valid loss:0.76518306,valid accuracy:63.666302%
loss is 0.765183, is decreasing!! save moddel
epoch:8016/50000,train loss:0.78699141,train accuracy:61.624236%,valid loss:0.76517322,valid accuracy:63.666831%
loss is 0.765173, is decreasing!! save moddel
epoch:8017/50000,train loss:0.78698175,train accuracy:61.624876%,valid loss:0.76516259,valid accuracy:63.667773%
loss is 0.765163, is decreasing!! save moddel
epoch:8018/50000,train loss:0.78697281,train accuracy:61.625476%,valid loss:0.76515371,valid accuracy:63.668199%
loss is 0.765154, is decreasing!! save moddel
epoch:8019/50000,train loss:0.78696214,train accuracy:61.626278%,valid loss:0.76514843,valid accuracy:63.668357%
loss is 0.765148, is decreasing!! save moddel
epoch:8020/50000,train loss:0.78695513,train accuracy:61.626538%,valid loss:0.76514048,valid accuracy:63.668700%
loss is 0.765140, is decreasing!! save moddel
epoch:8021/50000,train loss:0.78694704,train accuracy:61.626741%,valid loss:0.76513081,valid accuracy:63.669953%
loss is 0.765131, is decreasing!! save moddel
epoch:8022/50000,train loss:0.78693901,train accuracy:61.627199%,valid loss:0.76512038,valid accuracy:63.671493%
loss is 0.765120, is decreasing!! save moddel
epoch:8023/50000,train loss:0.78693049,train accuracy:61.627839%,valid loss:0.76511534,valid accuracy:63.671655%
loss is 0.765115, is decreasing!! save moddel
epoch:8024/50000,train loss:0.78692063,train accuracy:61.628596%,valid loss:0.76510423,valid accuracy:63.672888%
loss is 0.765104, is decreasing!! save moddel
epoch:8025/50000,train loss:0.78691615,train accuracy:61.628746%,valid loss:0.76509500,valid accuracy:63.673420%
loss is 0.765095, is decreasing!! save moddel
epoch:8026/50000,train loss:0.78691726,train accuracy:61.628880%,valid loss:0.76510179,valid accuracy:63.673047%
epoch:8027/50000,train loss:0.78690759,train accuracy:61.629648%,valid loss:0.76509040,valid accuracy:63.674075%
loss is 0.765090, is decreasing!! save moddel
epoch:8028/50000,train loss:0.78689721,train accuracy:61.630405%,valid loss:0.76508044,valid accuracy:63.675214%
loss is 0.765080, is decreasing!! save moddel
epoch:8029/50000,train loss:0.78688774,train accuracy:61.631066%,valid loss:0.76506883,valid accuracy:63.675979%
loss is 0.765069, is decreasing!! save moddel
epoch:8030/50000,train loss:0.78687911,train accuracy:61.631611%,valid loss:0.76505718,valid accuracy:63.677410%
loss is 0.765057, is decreasing!! save moddel
epoch:8031/50000,train loss:0.78687067,train accuracy:61.632172%,valid loss:0.76505268,valid accuracy:63.677523%
loss is 0.765053, is decreasing!! save moddel
epoch:8032/50000,train loss:0.78686209,train accuracy:61.632693%,valid loss:0.76504395,valid accuracy:63.677767%
loss is 0.765044, is decreasing!! save moddel
epoch:8033/50000,train loss:0.78685532,train accuracy:61.633077%,valid loss:0.76503953,valid accuracy:63.677904%
loss is 0.765040, is decreasing!! save moddel
epoch:8034/50000,train loss:0.78684769,train accuracy:61.633194%,valid loss:0.76502774,valid accuracy:63.678634%
loss is 0.765028, is decreasing!! save moddel
epoch:8035/50000,train loss:0.78683932,train accuracy:61.633596%,valid loss:0.76502986,valid accuracy:63.678660%
epoch:8036/50000,train loss:0.78683232,train accuracy:61.634347%,valid loss:0.76501896,valid accuracy:63.679278%
loss is 0.765019, is decreasing!! save moddel
epoch:8037/50000,train loss:0.78682103,train accuracy:61.634817%,valid loss:0.76500671,valid accuracy:63.679920%
loss is 0.765007, is decreasing!! save moddel
epoch:8038/50000,train loss:0.78680908,train accuracy:61.635286%,valid loss:0.76499424,valid accuracy:63.680566%
loss is 0.764994, is decreasing!! save moddel
epoch:8039/50000,train loss:0.78679784,train accuracy:61.635839%,valid loss:0.76498790,valid accuracy:63.680722%
loss is 0.764988, is decreasing!! save moddel
epoch:8040/50000,train loss:0.78678737,train accuracy:61.636544%,valid loss:0.76498759,valid accuracy:63.680480%
loss is 0.764988, is decreasing!! save moddel
epoch:8041/50000,train loss:0.78678142,train accuracy:61.636847%,valid loss:0.76497731,valid accuracy:63.680922%
loss is 0.764977, is decreasing!! save moddel
epoch:8042/50000,train loss:0.78677131,train accuracy:61.637386%,valid loss:0.76497158,valid accuracy:63.681064%
loss is 0.764972, is decreasing!! save moddel
epoch:8043/50000,train loss:0.78676087,train accuracy:61.638305%,valid loss:0.76496035,valid accuracy:63.681788%
loss is 0.764960, is decreasing!! save moddel
epoch:8044/50000,train loss:0.78675011,train accuracy:61.639025%,valid loss:0.76494915,valid accuracy:63.682512%
loss is 0.764949, is decreasing!! save moddel
epoch:8045/50000,train loss:0.78674162,train accuracy:61.639525%,valid loss:0.76494021,valid accuracy:63.682925%
loss is 0.764940, is decreasing!! save moddel
epoch:8046/50000,train loss:0.78673049,train accuracy:61.640136%,valid loss:0.76492807,valid accuracy:63.683673%
loss is 0.764928, is decreasing!! save moddel
epoch:8047/50000,train loss:0.78672315,train accuracy:61.640754%,valid loss:0.76491863,valid accuracy:63.684799%
loss is 0.764919, is decreasing!! save moddel
epoch:8048/50000,train loss:0.78671321,train accuracy:61.641400%,valid loss:0.76491054,valid accuracy:63.685216%
loss is 0.764911, is decreasing!! save moddel
epoch:8049/50000,train loss:0.78670824,train accuracy:61.641541%,valid loss:0.76489994,valid accuracy:63.686361%
loss is 0.764900, is decreasing!! save moddel
epoch:8050/50000,train loss:0.78670141,train accuracy:61.641900%,valid loss:0.76489038,valid accuracy:63.686793%
loss is 0.764890, is decreasing!! save moddel
epoch:8051/50000,train loss:0.78669222,train accuracy:61.642309%,valid loss:0.76488171,valid accuracy:63.687631%
loss is 0.764882, is decreasing!! save moddel
epoch:8052/50000,train loss:0.78668465,train accuracy:61.642848%,valid loss:0.76487018,valid accuracy:63.688465%
loss is 0.764870, is decreasing!! save moddel
epoch:8053/50000,train loss:0.78667780,train accuracy:61.643180%,valid loss:0.76485857,valid accuracy:63.689202%
loss is 0.764859, is decreasing!! save moddel
epoch:8054/50000,train loss:0.78666670,train accuracy:61.643790%,valid loss:0.76485010,valid accuracy:63.689337%
loss is 0.764850, is decreasing!! save moddel
epoch:8055/50000,train loss:0.78665722,train accuracy:61.644455%,valid loss:0.76483864,valid accuracy:63.690369%
loss is 0.764839, is decreasing!! save moddel
epoch:8056/50000,train loss:0.78664861,train accuracy:61.645064%,valid loss:0.76483211,valid accuracy:63.690717%
loss is 0.764832, is decreasing!! save moddel
epoch:8057/50000,train loss:0.78663906,train accuracy:61.645793%,valid loss:0.76482102,valid accuracy:63.691531%
loss is 0.764821, is decreasing!! save moddel
epoch:8058/50000,train loss:0.78662825,train accuracy:61.646782%,valid loss:0.76481023,valid accuracy:63.692349%
loss is 0.764810, is decreasing!! save moddel
epoch:8059/50000,train loss:0.78662200,train accuracy:61.646887%,valid loss:0.76479937,valid accuracy:63.692988%
loss is 0.764799, is decreasing!! save moddel
epoch:8060/50000,train loss:0.78661292,train accuracy:61.647774%,valid loss:0.76478624,valid accuracy:63.693825%
loss is 0.764786, is decreasing!! save moddel
epoch:8061/50000,train loss:0.78660193,train accuracy:61.648541%,valid loss:0.76477750,valid accuracy:63.694333%
loss is 0.764778, is decreasing!! save moddel
epoch:8062/50000,train loss:0.78659030,train accuracy:61.649189%,valid loss:0.76476625,valid accuracy:63.695645%
loss is 0.764766, is decreasing!! save moddel
epoch:8063/50000,train loss:0.78657984,train accuracy:61.649953%,valid loss:0.76475435,valid accuracy:63.696675%
loss is 0.764754, is decreasing!! save moddel
epoch:8064/50000,train loss:0.78656989,train accuracy:61.650574%,valid loss:0.76474761,valid accuracy:63.696431%
loss is 0.764748, is decreasing!! save moddel
epoch:8065/50000,train loss:0.78656524,train accuracy:61.650795%,valid loss:0.76473596,valid accuracy:63.697471%
loss is 0.764736, is decreasing!! save moddel
epoch:8066/50000,train loss:0.78655746,train accuracy:61.651251%,valid loss:0.76472496,valid accuracy:63.698394%
loss is 0.764725, is decreasing!! save moddel
epoch:8067/50000,train loss:0.78655359,train accuracy:61.651398%,valid loss:0.76471526,valid accuracy:63.698949%
loss is 0.764715, is decreasing!! save moddel
epoch:8068/50000,train loss:0.78654697,train accuracy:61.651715%,valid loss:0.76470567,valid accuracy:63.699078%
loss is 0.764706, is decreasing!! save moddel
epoch:8069/50000,train loss:0.78653981,train accuracy:61.652006%,valid loss:0.76469712,valid accuracy:63.699904%
loss is 0.764697, is decreasing!! save moddel
epoch:8070/50000,train loss:0.78654110,train accuracy:61.651764%,valid loss:0.76468685,valid accuracy:63.700536%
loss is 0.764687, is decreasing!! save moddel
epoch:8071/50000,train loss:0.78653537,train accuracy:61.652025%,valid loss:0.76467892,valid accuracy:63.700950%
loss is 0.764679, is decreasing!! save moddel
epoch:8072/50000,train loss:0.78653019,train accuracy:61.652520%,valid loss:0.76467519,valid accuracy:63.700199%
loss is 0.764675, is decreasing!! save moddel
epoch:8073/50000,train loss:0.78652830,train accuracy:61.652382%,valid loss:0.76466784,valid accuracy:63.700632%
loss is 0.764668, is decreasing!! save moddel
epoch:8074/50000,train loss:0.78652133,train accuracy:61.652941%,valid loss:0.76465898,valid accuracy:63.701070%
loss is 0.764659, is decreasing!! save moddel
epoch:8075/50000,train loss:0.78651327,train accuracy:61.653306%,valid loss:0.76465097,valid accuracy:63.701499%
loss is 0.764651, is decreasing!! save moddel
epoch:8076/50000,train loss:0.78650814,train accuracy:61.653832%,valid loss:0.76464242,valid accuracy:63.702149%
loss is 0.764642, is decreasing!! save moddel
epoch:8077/50000,train loss:0.78650324,train accuracy:61.654078%,valid loss:0.76463559,valid accuracy:63.702500%
loss is 0.764636, is decreasing!! save moddel
epoch:8078/50000,train loss:0.78650198,train accuracy:61.654014%,valid loss:0.76462798,valid accuracy:63.702928%
loss is 0.764628, is decreasing!! save moddel
epoch:8079/50000,train loss:0.78649498,train accuracy:61.654394%,valid loss:0.76461915,valid accuracy:63.703578%
loss is 0.764619, is decreasing!! save moddel
epoch:8080/50000,train loss:0.78648945,train accuracy:61.654685%,valid loss:0.76461065,valid accuracy:63.704325%
loss is 0.764611, is decreasing!! save moddel
epoch:8081/50000,train loss:0.78648303,train accuracy:61.655204%,valid loss:0.76460193,valid accuracy:63.705047%
loss is 0.764602, is decreasing!! save moddel
epoch:8082/50000,train loss:0.78647456,train accuracy:61.655626%,valid loss:0.76459214,valid accuracy:63.705765%
loss is 0.764592, is decreasing!! save moddel
epoch:8083/50000,train loss:0.78646587,train accuracy:61.656239%,valid loss:0.76458215,valid accuracy:63.707284%
loss is 0.764582, is decreasing!! save moddel
epoch:8084/50000,train loss:0.78645862,train accuracy:61.657005%,valid loss:0.76457237,valid accuracy:63.707928%
loss is 0.764572, is decreasing!! save moddel
epoch:8085/50000,train loss:0.78645720,train accuracy:61.657234%,valid loss:0.76456266,valid accuracy:63.708568%
loss is 0.764563, is decreasing!! save moddel
epoch:8086/50000,train loss:0.78645223,train accuracy:61.657576%,valid loss:0.76456345,valid accuracy:63.708309%
epoch:8087/50000,train loss:0.78644970,train accuracy:61.657576%,valid loss:0.76455308,valid accuracy:63.709030%
loss is 0.764553, is decreasing!! save moddel
epoch:8088/50000,train loss:0.78644175,train accuracy:61.658172%,valid loss:0.76454199,valid accuracy:63.709969%
loss is 0.764542, is decreasing!! save moddel
epoch:8089/50000,train loss:0.78643475,train accuracy:61.658660%,valid loss:0.76453175,valid accuracy:63.710796%
loss is 0.764532, is decreasing!! save moddel
epoch:8090/50000,train loss:0.78642548,train accuracy:61.658992%,valid loss:0.76452019,valid accuracy:63.711710%
loss is 0.764520, is decreasing!! save moddel
epoch:8091/50000,train loss:0.78641598,train accuracy:61.659781%,valid loss:0.76451041,valid accuracy:63.712749%
loss is 0.764510, is decreasing!! save moddel
epoch:8092/50000,train loss:0.78640938,train accuracy:61.660470%,valid loss:0.76450496,valid accuracy:63.713093%
loss is 0.764505, is decreasing!! save moddel
epoch:8093/50000,train loss:0.78640326,train accuracy:61.660750%,valid loss:0.76449421,valid accuracy:63.713933%
loss is 0.764494, is decreasing!! save moddel
epoch:8094/50000,train loss:0.78639285,train accuracy:61.661557%,valid loss:0.76448247,valid accuracy:63.714764%
loss is 0.764482, is decreasing!! save moddel
epoch:8095/50000,train loss:0.78639025,train accuracy:61.661660%,valid loss:0.76447166,valid accuracy:63.715673%
loss is 0.764472, is decreasing!! save moddel
epoch:8096/50000,train loss:0.78638132,train accuracy:61.662258%,valid loss:0.76446763,valid accuracy:63.715703%
loss is 0.764468, is decreasing!! save moddel
epoch:8097/50000,train loss:0.78637851,train accuracy:61.662438%,valid loss:0.76445929,valid accuracy:63.716041%
loss is 0.764459, is decreasing!! save moddel
epoch:8098/50000,train loss:0.78637125,train accuracy:61.662779%,valid loss:0.76444876,valid accuracy:63.717166%
loss is 0.764449, is decreasing!! save moddel
epoch:8099/50000,train loss:0.78636459,train accuracy:61.663280%,valid loss:0.76444086,valid accuracy:63.717504%
loss is 0.764441, is decreasing!! save moddel
epoch:8100/50000,train loss:0.78635885,train accuracy:61.663463%,valid loss:0.76443056,valid accuracy:63.718223%
loss is 0.764431, is decreasing!! save moddel
epoch:8101/50000,train loss:0.78635176,train accuracy:61.663690%,valid loss:0.76442569,valid accuracy:63.717959%
loss is 0.764426, is decreasing!! save moddel
epoch:8102/50000,train loss:0.78634514,train accuracy:61.664320%,valid loss:0.76441845,valid accuracy:63.718384%
loss is 0.764418, is decreasing!! save moddel
epoch:8103/50000,train loss:0.78633613,train accuracy:61.664959%,valid loss:0.76440851,valid accuracy:63.718924%
loss is 0.764409, is decreasing!! save moddel
epoch:8104/50000,train loss:0.78633262,train accuracy:61.665229%,valid loss:0.76440318,valid accuracy:63.718867%
loss is 0.764403, is decreasing!! save moddel
epoch:8105/50000,train loss:0.78633016,train accuracy:61.665553%,valid loss:0.76439648,valid accuracy:63.719489%
loss is 0.764396, is decreasing!! save moddel
epoch:8106/50000,train loss:0.78632177,train accuracy:61.666050%,valid loss:0.76439218,valid accuracy:63.719731%
loss is 0.764392, is decreasing!! save moddel
epoch:8107/50000,train loss:0.78631673,train accuracy:61.666335%,valid loss:0.76438460,valid accuracy:63.720146%
loss is 0.764385, is decreasing!! save moddel
epoch:8108/50000,train loss:0.78631300,train accuracy:61.666546%,valid loss:0.76437760,valid accuracy:63.720368%
loss is 0.764378, is decreasing!! save moddel
epoch:8109/50000,train loss:0.78631207,train accuracy:61.666482%,valid loss:0.76437066,valid accuracy:63.720706%
loss is 0.764371, is decreasing!! save moddel
epoch:8110/50000,train loss:0.78630510,train accuracy:61.666837%,valid loss:0.76436132,valid accuracy:63.721245%
loss is 0.764361, is decreasing!! save moddel
epoch:8111/50000,train loss:0.78629634,train accuracy:61.667311%,valid loss:0.76435134,valid accuracy:63.721789%
loss is 0.764351, is decreasing!! save moddel
epoch:8112/50000,train loss:0.78629095,train accuracy:61.667435%,valid loss:0.76434121,valid accuracy:63.722594%
loss is 0.764341, is decreasing!! save moddel
epoch:8113/50000,train loss:0.78628466,train accuracy:61.667839%,valid loss:0.76433202,valid accuracy:63.723307%
loss is 0.764332, is decreasing!! save moddel
epoch:8114/50000,train loss:0.78627668,train accuracy:61.668354%,valid loss:0.76432118,valid accuracy:63.724153%
loss is 0.764321, is decreasing!! save moddel
epoch:8115/50000,train loss:0.78627255,train accuracy:61.668819%,valid loss:0.76431282,valid accuracy:63.724394%
loss is 0.764313, is decreasing!! save moddel
epoch:8116/50000,train loss:0.78626834,train accuracy:61.669139%,valid loss:0.76430518,valid accuracy:63.725033%
loss is 0.764305, is decreasing!! save moddel
epoch:8117/50000,train loss:0.78626556,train accuracy:61.669132%,valid loss:0.76429870,valid accuracy:63.725476%
loss is 0.764299, is decreasing!! save moddel
epoch:8118/50000,train loss:0.78626352,train accuracy:61.669284%,valid loss:0.76429465,valid accuracy:63.725807%
loss is 0.764295, is decreasing!! save moddel
epoch:8119/50000,train loss:0.78626417,train accuracy:61.669356%,valid loss:0.76428620,valid accuracy:63.726437%
loss is 0.764286, is decreasing!! save moddel
epoch:8120/50000,train loss:0.78625827,train accuracy:61.669788%,valid loss:0.76428806,valid accuracy:63.726288%
epoch:8121/50000,train loss:0.78625271,train accuracy:61.670104%,valid loss:0.76428014,valid accuracy:63.726619%
loss is 0.764280, is decreasing!! save moddel
epoch:8122/50000,train loss:0.78624901,train accuracy:61.670072%,valid loss:0.76427304,valid accuracy:63.726956%
loss is 0.764273, is decreasing!! save moddel
epoch:8123/50000,train loss:0.78624765,train accuracy:61.670051%,valid loss:0.76426682,valid accuracy:63.726975%
loss is 0.764267, is decreasing!! save moddel
epoch:8124/50000,train loss:0.78624323,train accuracy:61.670434%,valid loss:0.76425794,valid accuracy:63.727191%
loss is 0.764258, is decreasing!! save moddel
epoch:8125/50000,train loss:0.78623966,train accuracy:61.670430%,valid loss:0.76425068,valid accuracy:63.728191%
loss is 0.764251, is decreasing!! save moddel
epoch:8126/50000,train loss:0.78623548,train accuracy:61.670663%,valid loss:0.76425146,valid accuracy:63.727940%
epoch:8127/50000,train loss:0.78623291,train accuracy:61.671052%,valid loss:0.76424599,valid accuracy:63.728189%
loss is 0.764246, is decreasing!! save moddel
epoch:8128/50000,train loss:0.78622714,train accuracy:61.671521%,valid loss:0.76423734,valid accuracy:63.728717%
loss is 0.764237, is decreasing!! save moddel
epoch:8129/50000,train loss:0.78622256,train accuracy:61.671859%,valid loss:0.76422773,valid accuracy:63.729240%
loss is 0.764228, is decreasing!! save moddel
epoch:8130/50000,train loss:0.78621577,train accuracy:61.672283%,valid loss:0.76421945,valid accuracy:63.729691%
loss is 0.764219, is decreasing!! save moddel
epoch:8131/50000,train loss:0.78621068,train accuracy:61.672471%,valid loss:0.76421322,valid accuracy:63.730415%
loss is 0.764213, is decreasing!! save moddel
epoch:8132/50000,train loss:0.78621505,train accuracy:61.672270%,valid loss:0.76420517,valid accuracy:63.731231%
loss is 0.764205, is decreasing!! save moddel
epoch:8133/50000,train loss:0.78621401,train accuracy:61.672425%,valid loss:0.76419638,valid accuracy:63.732046%
loss is 0.764196, is decreasing!! save moddel
epoch:8134/50000,train loss:0.78622155,train accuracy:61.671819%,valid loss:0.76418850,valid accuracy:63.732180%
loss is 0.764189, is decreasing!! save moddel
epoch:8135/50000,train loss:0.78621790,train accuracy:61.672045%,valid loss:0.76418007,valid accuracy:63.732697%
loss is 0.764180, is decreasing!! save moddel
epoch:8136/50000,train loss:0.78621513,train accuracy:61.672348%,valid loss:0.76417193,valid accuracy:63.733124%
loss is 0.764172, is decreasing!! save moddel
epoch:8137/50000,train loss:0.78620914,train accuracy:61.672688%,valid loss:0.76416556,valid accuracy:63.733032%
loss is 0.764166, is decreasing!! save moddel
epoch:8138/50000,train loss:0.78620482,train accuracy:61.673246%,valid loss:0.76416615,valid accuracy:63.732868%
epoch:8139/50000,train loss:0.78620017,train accuracy:61.673670%,valid loss:0.76415939,valid accuracy:63.732992%
loss is 0.764159, is decreasing!! save moddel
epoch:8140/50000,train loss:0.78619648,train accuracy:61.673707%,valid loss:0.76415221,valid accuracy:63.733902%
loss is 0.764152, is decreasing!! save moddel
epoch:8141/50000,train loss:0.78619113,train accuracy:61.674005%,valid loss:0.76414679,valid accuracy:63.734314%
loss is 0.764147, is decreasing!! save moddel
epoch:8142/50000,train loss:0.78618710,train accuracy:61.674157%,valid loss:0.76413922,valid accuracy:63.734835%
loss is 0.764139, is decreasing!! save moddel
epoch:8143/50000,train loss:0.78618230,train accuracy:61.674513%,valid loss:0.76413218,valid accuracy:63.735280%
loss is 0.764132, is decreasing!! save moddel
epoch:8144/50000,train loss:0.78617931,train accuracy:61.674863%,valid loss:0.76412479,valid accuracy:63.736103%
loss is 0.764125, is decreasing!! save moddel
epoch:8145/50000,train loss:0.78617866,train accuracy:61.674931%,valid loss:0.76411636,valid accuracy:63.736519%
loss is 0.764116, is decreasing!! save moddel
epoch:8146/50000,train loss:0.78617408,train accuracy:61.675240%,valid loss:0.76411005,valid accuracy:63.736944%
loss is 0.764110, is decreasing!! save moddel
epoch:8147/50000,train loss:0.78617057,train accuracy:61.675730%,valid loss:0.76410678,valid accuracy:63.737173%
loss is 0.764107, is decreasing!! save moddel
epoch:8148/50000,train loss:0.78616931,train accuracy:61.675612%,valid loss:0.76410454,valid accuracy:63.737205%
loss is 0.764105, is decreasing!! save moddel
epoch:8149/50000,train loss:0.78616535,train accuracy:61.675792%,valid loss:0.76410270,valid accuracy:63.737227%
loss is 0.764103, is decreasing!! save moddel
epoch:8150/50000,train loss:0.78615585,train accuracy:61.676719%,valid loss:0.76409190,valid accuracy:63.738045%
loss is 0.764092, is decreasing!! save moddel
epoch:8151/50000,train loss:0.78614691,train accuracy:61.677330%,valid loss:0.76408429,valid accuracy:63.738675%
loss is 0.764084, is decreasing!! save moddel
epoch:8152/50000,train loss:0.78613892,train accuracy:61.678028%,valid loss:0.76407295,valid accuracy:63.740101%
loss is 0.764073, is decreasing!! save moddel
epoch:8153/50000,train loss:0.78612888,train accuracy:61.678839%,valid loss:0.76406285,valid accuracy:63.741009%
loss is 0.764063, is decreasing!! save moddel
epoch:8154/50000,train loss:0.78611932,train accuracy:61.679635%,valid loss:0.76406002,valid accuracy:63.741059%
loss is 0.764060, is decreasing!! save moddel
epoch:8155/50000,train loss:0.78611280,train accuracy:61.679761%,valid loss:0.76404990,valid accuracy:63.742177%
loss is 0.764050, is decreasing!! save moddel
epoch:8156/50000,train loss:0.78610506,train accuracy:61.680457%,valid loss:0.76404361,valid accuracy:63.742314%
loss is 0.764044, is decreasing!! save moddel
epoch:8157/50000,train loss:0.78609964,train accuracy:61.680536%,valid loss:0.76403432,valid accuracy:63.742743%
loss is 0.764034, is decreasing!! save moddel
epoch:8158/50000,train loss:0.78609154,train accuracy:61.681171%,valid loss:0.76402658,valid accuracy:63.743166%
loss is 0.764027, is decreasing!! save moddel
epoch:8159/50000,train loss:0.78608526,train accuracy:61.681708%,valid loss:0.76401668,valid accuracy:63.744576%
loss is 0.764017, is decreasing!! save moddel
epoch:8160/50000,train loss:0.78607922,train accuracy:61.682072%,valid loss:0.76400638,valid accuracy:63.745310%
loss is 0.764006, is decreasing!! save moddel
epoch:8161/50000,train loss:0.78606928,train accuracy:61.682764%,valid loss:0.76399635,valid accuracy:63.745819%
loss is 0.763996, is decreasing!! save moddel
epoch:8162/50000,train loss:0.78606077,train accuracy:61.683298%,valid loss:0.76399042,valid accuracy:63.745941%
loss is 0.763990, is decreasing!! save moddel
epoch:8163/50000,train loss:0.78606288,train accuracy:61.682848%,valid loss:0.76398302,valid accuracy:63.746073%
loss is 0.763983, is decreasing!! save moddel
epoch:8164/50000,train loss:0.78605540,train accuracy:61.683300%,valid loss:0.76397721,valid accuracy:63.746276%
loss is 0.763977, is decreasing!! save moddel
epoch:8165/50000,train loss:0.78604936,train accuracy:61.683847%,valid loss:0.76396973,valid accuracy:63.747082%
loss is 0.763970, is decreasing!! save moddel
epoch:8166/50000,train loss:0.78604065,train accuracy:61.684443%,valid loss:0.76396220,valid accuracy:63.747418%
loss is 0.763962, is decreasing!! save moddel
epoch:8167/50000,train loss:0.78603370,train accuracy:61.684959%,valid loss:0.76395455,valid accuracy:63.747746%
loss is 0.763955, is decreasing!! save moddel
epoch:8168/50000,train loss:0.78602892,train accuracy:61.685403%,valid loss:0.76395455,valid accuracy:63.747561%
loss is 0.763955, is decreasing!! save moddel
epoch:8169/50000,train loss:0.78602125,train accuracy:61.685767%,valid loss:0.76394904,valid accuracy:63.747774%
loss is 0.763949, is decreasing!! save moddel
epoch:8170/50000,train loss:0.78601874,train accuracy:61.685875%,valid loss:0.76394215,valid accuracy:63.747809%
loss is 0.763942, is decreasing!! save moddel
epoch:8171/50000,train loss:0.78601202,train accuracy:61.686161%,valid loss:0.76393377,valid accuracy:63.749001%
loss is 0.763934, is decreasing!! save moddel
epoch:8172/50000,train loss:0.78600399,train accuracy:61.686773%,valid loss:0.76392450,valid accuracy:63.749510%
loss is 0.763925, is decreasing!! save moddel
epoch:8173/50000,train loss:0.78599913,train accuracy:61.687177%,valid loss:0.76391520,valid accuracy:63.749923%
loss is 0.763915, is decreasing!! save moddel
epoch:8174/50000,train loss:0.78599407,train accuracy:61.687413%,valid loss:0.76391184,valid accuracy:63.750149%
loss is 0.763912, is decreasing!! save moddel
epoch:8175/50000,train loss:0.78599185,train accuracy:61.687120%,valid loss:0.76390474,valid accuracy:63.750347%
loss is 0.763905, is decreasing!! save moddel
epoch:8176/50000,train loss:0.78598175,train accuracy:61.687718%,valid loss:0.76389825,valid accuracy:63.750564%
loss is 0.763898, is decreasing!! save moddel
epoch:8177/50000,train loss:0.78597272,train accuracy:61.688294%,valid loss:0.76388822,valid accuracy:63.752050%
loss is 0.763888, is decreasing!! save moddel
epoch:8178/50000,train loss:0.78596801,train accuracy:61.688835%,valid loss:0.76387744,valid accuracy:63.752777%
loss is 0.763877, is decreasing!! save moddel
epoch:8179/50000,train loss:0.78596107,train accuracy:61.689316%,valid loss:0.76386808,valid accuracy:63.753017%
loss is 0.763868, is decreasing!! save moddel
epoch:8180/50000,train loss:0.78595197,train accuracy:61.689990%,valid loss:0.76386071,valid accuracy:63.753243%
loss is 0.763861, is decreasing!! save moddel
epoch:8181/50000,train loss:0.78594907,train accuracy:61.690221%,valid loss:0.76385277,valid accuracy:63.753755%
loss is 0.763853, is decreasing!! save moddel
epoch:8182/50000,train loss:0.78594116,train accuracy:61.690720%,valid loss:0.76384537,valid accuracy:63.753866%
loss is 0.763845, is decreasing!! save moddel
epoch:8183/50000,train loss:0.78593503,train accuracy:61.691101%,valid loss:0.76383979,valid accuracy:63.754078%
loss is 0.763840, is decreasing!! save moddel
epoch:8184/50000,train loss:0.78592682,train accuracy:61.691752%,valid loss:0.76383177,valid accuracy:63.754198%
loss is 0.763832, is decreasing!! save moddel
epoch:8185/50000,train loss:0.78592830,train accuracy:61.691645%,valid loss:0.76383214,valid accuracy:63.754247%
epoch:8186/50000,train loss:0.78591811,train accuracy:61.692280%,valid loss:0.76382230,valid accuracy:63.755650%
loss is 0.763822, is decreasing!! save moddel
epoch:8187/50000,train loss:0.78591174,train accuracy:61.692694%,valid loss:0.76381108,valid accuracy:63.756944%
loss is 0.763811, is decreasing!! save moddel
epoch:8188/50000,train loss:0.78590682,train accuracy:61.693094%,valid loss:0.76380101,valid accuracy:63.757378%
loss is 0.763801, is decreasing!! save moddel
epoch:8189/50000,train loss:0.78590013,train accuracy:61.693272%,valid loss:0.76379203,valid accuracy:63.758071%
loss is 0.763792, is decreasing!! save moddel
epoch:8190/50000,train loss:0.78589079,train accuracy:61.694014%,valid loss:0.76378269,valid accuracy:63.759268%
loss is 0.763783, is decreasing!! save moddel
epoch:8191/50000,train loss:0.78588279,train accuracy:61.694569%,valid loss:0.76377327,valid accuracy:63.760074%
loss is 0.763773, is decreasing!! save moddel
epoch:8192/50000,train loss:0.78587872,train accuracy:61.694806%,valid loss:0.76376459,valid accuracy:63.761280%
loss is 0.763765, is decreasing!! save moddel
epoch:8193/50000,train loss:0.78586859,train accuracy:61.695478%,valid loss:0.76375446,valid accuracy:63.762000%
loss is 0.763754, is decreasing!! save moddel
epoch:8194/50000,train loss:0.78586082,train accuracy:61.696077%,valid loss:0.76374830,valid accuracy:63.761929%
loss is 0.763748, is decreasing!! save moddel
epoch:8195/50000,train loss:0.78585206,train accuracy:61.696524%,valid loss:0.76373750,valid accuracy:63.762653%
loss is 0.763737, is decreasing!! save moddel
epoch:8196/50000,train loss:0.78584325,train accuracy:61.697233%,valid loss:0.76372821,valid accuracy:63.763782%
loss is 0.763728, is decreasing!! save moddel
epoch:8197/50000,train loss:0.78583928,train accuracy:61.697505%,valid loss:0.76371880,valid accuracy:63.764111%
loss is 0.763719, is decreasing!! save moddel
epoch:8198/50000,train loss:0.78583216,train accuracy:61.697989%,valid loss:0.76370739,valid accuracy:63.765034%
loss is 0.763707, is decreasing!! save moddel
epoch:8199/50000,train loss:0.78582349,train accuracy:61.698631%,valid loss:0.76369767,valid accuracy:63.765449%
loss is 0.763698, is decreasing!! save moddel
epoch:8200/50000,train loss:0.78581497,train accuracy:61.699280%,valid loss:0.76368678,valid accuracy:63.766148%
loss is 0.763687, is decreasing!! save moddel
epoch:8201/50000,train loss:0.78580694,train accuracy:61.699897%,valid loss:0.76367549,valid accuracy:63.766962%
loss is 0.763675, is decreasing!! save moddel
epoch:8202/50000,train loss:0.78580267,train accuracy:61.700272%,valid loss:0.76366711,valid accuracy:63.766895%
loss is 0.763667, is decreasing!! save moddel
epoch:8203/50000,train loss:0.78579681,train accuracy:61.700563%,valid loss:0.76366013,valid accuracy:63.767423%
loss is 0.763660, is decreasing!! save moddel
epoch:8204/50000,train loss:0.78579241,train accuracy:61.700853%,valid loss:0.76365071,valid accuracy:63.767356%
loss is 0.763651, is decreasing!! save moddel
epoch:8205/50000,train loss:0.78578310,train accuracy:61.701207%,valid loss:0.76364066,valid accuracy:63.768754%
loss is 0.763641, is decreasing!! save moddel
epoch:8206/50000,train loss:0.78577611,train accuracy:61.701348%,valid loss:0.76362937,valid accuracy:63.769567%
loss is 0.763629, is decreasing!! save moddel
epoch:8207/50000,train loss:0.78576847,train accuracy:61.701753%,valid loss:0.76362096,valid accuracy:63.769305%
loss is 0.763621, is decreasing!! save moddel
epoch:8208/50000,train loss:0.78575937,train accuracy:61.702483%,valid loss:0.76361030,valid accuracy:63.770508%
loss is 0.763610, is decreasing!! save moddel
epoch:8209/50000,train loss:0.78574982,train accuracy:61.703118%,valid loss:0.76360333,valid accuracy:63.770250%
loss is 0.763603, is decreasing!! save moddel
epoch:8210/50000,train loss:0.78574055,train accuracy:61.703658%,valid loss:0.76359355,valid accuracy:63.770487%
loss is 0.763594, is decreasing!! save moddel
epoch:8211/50000,train loss:0.78573306,train accuracy:61.703963%,valid loss:0.76358696,valid accuracy:63.770510%
loss is 0.763587, is decreasing!! save moddel
epoch:8212/50000,train loss:0.78572507,train accuracy:61.704506%,valid loss:0.76357679,valid accuracy:63.770937%
loss is 0.763577, is decreasing!! save moddel
epoch:8213/50000,train loss:0.78571646,train accuracy:61.704932%,valid loss:0.76357342,valid accuracy:63.770765%
loss is 0.763573, is decreasing!! save moddel
epoch:8214/50000,train loss:0.78570716,train accuracy:61.705427%,valid loss:0.76356275,valid accuracy:63.771677%
loss is 0.763563, is decreasing!! save moddel
epoch:8215/50000,train loss:0.78569782,train accuracy:61.705852%,valid loss:0.76355099,valid accuracy:63.772597%
loss is 0.763551, is decreasing!! save moddel
epoch:8216/50000,train loss:0.78568677,train accuracy:61.706706%,valid loss:0.76353981,valid accuracy:63.774093%
loss is 0.763540, is decreasing!! save moddel
epoch:8217/50000,train loss:0.78567593,train accuracy:61.707482%,valid loss:0.76353394,valid accuracy:63.774111%
loss is 0.763534, is decreasing!! save moddel
epoch:8218/50000,train loss:0.78566918,train accuracy:61.707936%,valid loss:0.76352351,valid accuracy:63.774542%
loss is 0.763524, is decreasing!! save moddel
epoch:8219/50000,train loss:0.78565882,train accuracy:61.708518%,valid loss:0.76351249,valid accuracy:63.774864%
loss is 0.763512, is decreasing!! save moddel
epoch:8220/50000,train loss:0.78564793,train accuracy:61.709187%,valid loss:0.76350922,valid accuracy:63.774995%
loss is 0.763509, is decreasing!! save moddel
epoch:8221/50000,train loss:0.78563775,train accuracy:61.709761%,valid loss:0.76349873,valid accuracy:63.775716%
loss is 0.763499, is decreasing!! save moddel
epoch:8222/50000,train loss:0.78562768,train accuracy:61.710372%,valid loss:0.76349136,valid accuracy:63.775937%
loss is 0.763491, is decreasing!! save moddel
epoch:8223/50000,train loss:0.78561784,train accuracy:61.711006%,valid loss:0.76348047,valid accuracy:63.777332%
loss is 0.763480, is decreasing!! save moddel
epoch:8224/50000,train loss:0.78561208,train accuracy:61.711323%,valid loss:0.76346950,valid accuracy:63.778522%
loss is 0.763469, is decreasing!! save moddel
epoch:8225/50000,train loss:0.78560122,train accuracy:61.711997%,valid loss:0.76346149,valid accuracy:63.778549%
loss is 0.763461, is decreasing!! save moddel
epoch:8226/50000,train loss:0.78559078,train accuracy:61.712680%,valid loss:0.76345746,valid accuracy:63.778281%
loss is 0.763457, is decreasing!! save moddel
epoch:8227/50000,train loss:0.78558018,train accuracy:61.713142%,valid loss:0.76344790,valid accuracy:63.778408%
loss is 0.763448, is decreasing!! save moddel
epoch:8228/50000,train loss:0.78557023,train accuracy:61.713722%,valid loss:0.76343945,valid accuracy:63.778525%
loss is 0.763439, is decreasing!! save moddel
epoch:8229/50000,train loss:0.78556049,train accuracy:61.714323%,valid loss:0.76342932,valid accuracy:63.779813%
loss is 0.763429, is decreasing!! save moddel
epoch:8230/50000,train loss:0.78555932,train accuracy:61.714509%,valid loss:0.76342282,valid accuracy:63.779627%
loss is 0.763423, is decreasing!! save moddel
epoch:8231/50000,train loss:0.78555754,train accuracy:61.714427%,valid loss:0.76342807,valid accuracy:63.778871%
epoch:8232/50000,train loss:0.78555143,train accuracy:61.714904%,valid loss:0.76342397,valid accuracy:63.778509%
epoch:8233/50000,train loss:0.78554796,train accuracy:61.715204%,valid loss:0.76342301,valid accuracy:63.777966%
epoch:8234/50000,train loss:0.78554417,train accuracy:61.715362%,valid loss:0.76341517,valid accuracy:63.778396%
loss is 0.763415, is decreasing!! save moddel
epoch:8235/50000,train loss:0.78554308,train accuracy:61.715271%,valid loss:0.76340889,valid accuracy:63.779589%
loss is 0.763409, is decreasing!! save moddel
epoch:8236/50000,train loss:0.78554029,train accuracy:61.715498%,valid loss:0.76340512,valid accuracy:63.780511%
loss is 0.763405, is decreasing!! save moddel
epoch:8237/50000,train loss:0.78554024,train accuracy:61.715632%,valid loss:0.76339913,valid accuracy:63.781021%
loss is 0.763399, is decreasing!! save moddel
epoch:8238/50000,train loss:0.78553686,train accuracy:61.715938%,valid loss:0.76339412,valid accuracy:63.781436%
loss is 0.763394, is decreasing!! save moddel
epoch:8239/50000,train loss:0.78553118,train accuracy:61.716316%,valid loss:0.76339186,valid accuracy:63.781092%
loss is 0.763392, is decreasing!! save moddel
epoch:8240/50000,train loss:0.78553745,train accuracy:61.715854%,valid loss:0.76338437,valid accuracy:63.780996%
loss is 0.763384, is decreasing!! save moddel
epoch:8241/50000,train loss:0.78552857,train accuracy:61.716574%,valid loss:0.76338453,valid accuracy:63.780444%
epoch:8242/50000,train loss:0.78552032,train accuracy:61.716959%,valid loss:0.76337516,valid accuracy:63.781238%
loss is 0.763375, is decreasing!! save moddel
epoch:8243/50000,train loss:0.78551473,train accuracy:61.717353%,valid loss:0.76336582,valid accuracy:63.782240%
loss is 0.763366, is decreasing!! save moddel
epoch:8244/50000,train loss:0.78551172,train accuracy:61.717754%,valid loss:0.76335813,valid accuracy:63.782380%
loss is 0.763358, is decreasing!! save moddel
epoch:8245/50000,train loss:0.78550609,train accuracy:61.718214%,valid loss:0.76335102,valid accuracy:63.782974%
loss is 0.763351, is decreasing!! save moddel
epoch:8246/50000,train loss:0.78550224,train accuracy:61.718475%,valid loss:0.76334482,valid accuracy:63.783365%
loss is 0.763345, is decreasing!! save moddel
epoch:8247/50000,train loss:0.78550034,train accuracy:61.718916%,valid loss:0.76334062,valid accuracy:63.783301%
loss is 0.763341, is decreasing!! save moddel
epoch:8248/50000,train loss:0.78550027,train accuracy:61.719007%,valid loss:0.76333913,valid accuracy:63.782859%
loss is 0.763339, is decreasing!! save moddel
epoch:8249/50000,train loss:0.78551179,train accuracy:61.718412%,valid loss:0.76333502,valid accuracy:63.783363%
loss is 0.763335, is decreasing!! save moddel
epoch:8250/50000,train loss:0.78551363,train accuracy:61.718462%,valid loss:0.76333457,valid accuracy:63.784368%
loss is 0.763335, is decreasing!! save moddel
epoch:8251/50000,train loss:0.78552306,train accuracy:61.718423%,valid loss:0.76333664,valid accuracy:63.784399%
epoch:8252/50000,train loss:0.78552900,train accuracy:61.718537%,valid loss:0.76333660,valid accuracy:63.784804%
epoch:8253/50000,train loss:0.78553978,train accuracy:61.718365%,valid loss:0.76334231,valid accuracy:63.785615%
epoch:8254/50000,train loss:0.78555067,train accuracy:61.718270%,valid loss:0.76334364,valid accuracy:63.785952%
epoch:8255/50000,train loss:0.78556436,train accuracy:61.718182%,valid loss:0.76334502,valid accuracy:63.785888%
epoch:8256/50000,train loss:0.78556888,train accuracy:61.718238%,valid loss:0.76334497,valid accuracy:63.786212%
epoch:8257/50000,train loss:0.78557588,train accuracy:61.718187%,valid loss:0.76334490,valid accuracy:63.786247%
epoch:8258/50000,train loss:0.78558487,train accuracy:61.718022%,valid loss:0.76334202,valid accuracy:63.786556%
epoch:8259/50000,train loss:0.78558913,train accuracy:61.718071%,valid loss:0.76334197,valid accuracy:63.786275%
epoch:8260/50000,train loss:0.78559088,train accuracy:61.717839%,valid loss:0.76333854,valid accuracy:63.787071%
epoch:8261/50000,train loss:0.78559433,train accuracy:61.717955%,valid loss:0.76333594,valid accuracy:63.787484%
epoch:8262/50000,train loss:0.78559714,train accuracy:61.718357%,valid loss:0.76333708,valid accuracy:63.787500%
epoch:8263/50000,train loss:0.78560150,train accuracy:61.718318%,valid loss:0.76333224,valid accuracy:63.788192%
loss is 0.763332, is decreasing!! save moddel
epoch:8264/50000,train loss:0.78560181,train accuracy:61.718545%,valid loss:0.76332847,valid accuracy:63.788506%
loss is 0.763328, is decreasing!! save moddel
epoch:8265/50000,train loss:0.78560034,train accuracy:61.718970%,valid loss:0.76332506,valid accuracy:63.789315%
loss is 0.763325, is decreasing!! save moddel
epoch:8266/50000,train loss:0.78560117,train accuracy:61.719212%,valid loss:0.76332078,valid accuracy:63.790214%
loss is 0.763321, is decreasing!! save moddel
epoch:8267/50000,train loss:0.78560270,train accuracy:61.719302%,valid loss:0.76331249,valid accuracy:63.791000%
loss is 0.763312, is decreasing!! save moddel
epoch:8268/50000,train loss:0.78560150,train accuracy:61.719439%,valid loss:0.76330163,valid accuracy:63.791611%
loss is 0.763302, is decreasing!! save moddel
epoch:8269/50000,train loss:0.78559481,train accuracy:61.719845%,valid loss:0.76329264,valid accuracy:63.792037%
loss is 0.763293, is decreasing!! save moddel
epoch:8270/50000,train loss:0.78558719,train accuracy:61.720448%,valid loss:0.76328907,valid accuracy:63.791462%
loss is 0.763289, is decreasing!! save moddel
epoch:8271/50000,train loss:0.78558093,train accuracy:61.721143%,valid loss:0.76328235,valid accuracy:63.791610%
loss is 0.763282, is decreasing!! save moddel
epoch:8272/50000,train loss:0.78557539,train accuracy:61.721658%,valid loss:0.76327592,valid accuracy:63.791918%
loss is 0.763276, is decreasing!! save moddel
epoch:8273/50000,train loss:0.78556968,train accuracy:61.722235%,valid loss:0.76326789,valid accuracy:63.792438%
loss is 0.763268, is decreasing!! save moddel
epoch:8274/50000,train loss:0.78557044,train accuracy:61.722580%,valid loss:0.76325782,valid accuracy:63.793511%
loss is 0.763258, is decreasing!! save moddel
epoch:8275/50000,train loss:0.78556560,train accuracy:61.723274%,valid loss:0.76324635,valid accuracy:63.794385%
loss is 0.763246, is decreasing!! save moddel
epoch:8276/50000,train loss:0.78556063,train accuracy:61.723515%,valid loss:0.76323398,valid accuracy:63.795566%
loss is 0.763234, is decreasing!! save moddel
epoch:8277/50000,train loss:0.78555109,train accuracy:61.724388%,valid loss:0.76322278,valid accuracy:63.796359%
loss is 0.763223, is decreasing!! save moddel
epoch:8278/50000,train loss:0.78554261,train accuracy:61.725439%,valid loss:0.76321448,valid accuracy:63.796586%
loss is 0.763214, is decreasing!! save moddel
epoch:8279/50000,train loss:0.78553287,train accuracy:61.726123%,valid loss:0.76320149,valid accuracy:63.797776%
loss is 0.763201, is decreasing!! save moddel
epoch:8280/50000,train loss:0.78552435,train accuracy:61.727105%,valid loss:0.76319073,valid accuracy:63.798555%
loss is 0.763191, is decreasing!! save moddel
epoch:8281/50000,train loss:0.78551677,train accuracy:61.727884%,valid loss:0.76317874,valid accuracy:63.799805%
loss is 0.763179, is decreasing!! save moddel
epoch:8282/50000,train loss:0.78550860,train accuracy:61.728629%,valid loss:0.76316814,valid accuracy:63.800696%
loss is 0.763168, is decreasing!! save moddel
epoch:8283/50000,train loss:0.78550222,train accuracy:61.729255%,valid loss:0.76315804,valid accuracy:63.801687%
loss is 0.763158, is decreasing!! save moddel
epoch:8284/50000,train loss:0.78549731,train accuracy:61.729633%,valid loss:0.76315296,valid accuracy:63.801611%
loss is 0.763153, is decreasing!! save moddel
epoch:8285/50000,train loss:0.78548931,train accuracy:61.730431%,valid loss:0.76314422,valid accuracy:63.802705%
loss is 0.763144, is decreasing!! save moddel
epoch:8286/50000,train loss:0.78548361,train accuracy:61.730919%,valid loss:0.76313582,valid accuracy:63.803685%
loss is 0.763136, is decreasing!! save moddel
epoch:8287/50000,train loss:0.78547756,train accuracy:61.731331%,valid loss:0.76312621,valid accuracy:63.804467%
loss is 0.763126, is decreasing!! save moddel
epoch:8288/50000,train loss:0.78546950,train accuracy:61.732073%,valid loss:0.76312081,valid accuracy:63.804302%
loss is 0.763121, is decreasing!! save moddel
epoch:8289/50000,train loss:0.78546276,train accuracy:61.732749%,valid loss:0.76313010,valid accuracy:63.803746%
epoch:8290/50000,train loss:0.78546475,train accuracy:61.732603%,valid loss:0.76312725,valid accuracy:63.804914%
epoch:8291/50000,train loss:0.78546229,train accuracy:61.733439%,valid loss:0.76312030,valid accuracy:63.805644%
loss is 0.763120, is decreasing!! save moddel
epoch:8292/50000,train loss:0.78546379,train accuracy:61.733757%,valid loss:0.76311326,valid accuracy:63.806933%
loss is 0.763113, is decreasing!! save moddel
epoch:8293/50000,train loss:0.78545726,train accuracy:61.734521%,valid loss:0.76310500,valid accuracy:63.807931%
loss is 0.763105, is decreasing!! save moddel
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loss is 0.763104, is decreasing!! save moddel
epoch:8295/50000,train loss:0.78545042,train accuracy:61.735230%,valid loss:0.76311249,valid accuracy:63.806993%
epoch:8296/50000,train loss:0.78544687,train accuracy:61.735472%,valid loss:0.76310843,valid accuracy:63.807025%
epoch:8297/50000,train loss:0.78544089,train accuracy:61.735963%,valid loss:0.76310362,valid accuracy:63.807830%
loss is 0.763104, is decreasing!! save moddel
epoch:8298/50000,train loss:0.78543581,train accuracy:61.736099%,valid loss:0.76309826,valid accuracy:63.808798%
loss is 0.763098, is decreasing!! save moddel
epoch:8299/50000,train loss:0.78542936,train accuracy:61.736770%,valid loss:0.76309549,valid accuracy:63.808821%
loss is 0.763095, is decreasing!! save moddel
epoch:8300/50000,train loss:0.78542698,train accuracy:61.736773%,valid loss:0.76309445,valid accuracy:63.808637%
loss is 0.763094, is decreasing!! save moddel
epoch:8301/50000,train loss:0.78542039,train accuracy:61.737335%,valid loss:0.76308899,valid accuracy:63.808872%
loss is 0.763089, is decreasing!! save moddel
epoch:8302/50000,train loss:0.78541745,train accuracy:61.737708%,valid loss:0.76308121,valid accuracy:63.809553%
loss is 0.763081, is decreasing!! save moddel
epoch:8303/50000,train loss:0.78540932,train accuracy:61.738281%,valid loss:0.76307263,valid accuracy:63.810737%
loss is 0.763073, is decreasing!! save moddel
epoch:8304/50000,train loss:0.78540296,train accuracy:61.738937%,valid loss:0.76306596,valid accuracy:63.811042%
loss is 0.763066, is decreasing!! save moddel
epoch:8305/50000,train loss:0.78539566,train accuracy:61.739758%,valid loss:0.76306018,valid accuracy:63.811338%
loss is 0.763060, is decreasing!! save moddel
epoch:8306/50000,train loss:0.78538971,train accuracy:61.739918%,valid loss:0.76305239,valid accuracy:63.812516%
loss is 0.763052, is decreasing!! save moddel
epoch:8307/50000,train loss:0.78538215,train accuracy:61.740331%,valid loss:0.76304629,valid accuracy:63.812718%
loss is 0.763046, is decreasing!! save moddel
epoch:8308/50000,train loss:0.78538008,train accuracy:61.740553%,valid loss:0.76303904,valid accuracy:63.812825%
loss is 0.763039, is decreasing!! save moddel
epoch:8309/50000,train loss:0.78537393,train accuracy:61.740968%,valid loss:0.76303086,valid accuracy:63.813040%
loss is 0.763031, is decreasing!! save moddel
epoch:8310/50000,train loss:0.78536500,train accuracy:61.741704%,valid loss:0.76302099,valid accuracy:63.814016%
loss is 0.763021, is decreasing!! save moddel
epoch:8311/50000,train loss:0.78535612,train accuracy:61.742330%,valid loss:0.76301843,valid accuracy:63.813859%
loss is 0.763018, is decreasing!! save moddel
epoch:8312/50000,train loss:0.78534698,train accuracy:61.743015%,valid loss:0.76300907,valid accuracy:63.815122%
loss is 0.763009, is decreasing!! save moddel
epoch:8313/50000,train loss:0.78533760,train accuracy:61.743610%,valid loss:0.76300056,valid accuracy:63.815355%
loss is 0.763001, is decreasing!! save moddel
epoch:8314/50000,train loss:0.78532790,train accuracy:61.744480%,valid loss:0.76300314,valid accuracy:63.814973%
epoch:8315/50000,train loss:0.78531939,train accuracy:61.744927%,valid loss:0.76299904,valid accuracy:63.814700%
loss is 0.762999, is decreasing!! save moddel
epoch:8316/50000,train loss:0.78530864,train accuracy:61.745905%,valid loss:0.76298787,valid accuracy:63.815295%
loss is 0.762988, is decreasing!! save moddel
epoch:8317/50000,train loss:0.78529895,train accuracy:61.746627%,valid loss:0.76298502,valid accuracy:63.815415%
loss is 0.762985, is decreasing!! save moddel
epoch:8318/50000,train loss:0.78528761,train accuracy:61.747264%,valid loss:0.76297529,valid accuracy:63.816475%
loss is 0.762975, is decreasing!! save moddel
epoch:8319/50000,train loss:0.78527548,train accuracy:61.748402%,valid loss:0.76296260,valid accuracy:63.817661%
loss is 0.762963, is decreasing!! save moddel
epoch:8320/50000,train loss:0.78526897,train accuracy:61.749005%,valid loss:0.76295179,valid accuracy:63.818269%
loss is 0.762952, is decreasing!! save moddel
epoch:8321/50000,train loss:0.78525790,train accuracy:61.749829%,valid loss:0.76294073,valid accuracy:63.818961%
loss is 0.762941, is decreasing!! save moddel
epoch:8322/50000,train loss:0.78524633,train accuracy:61.750522%,valid loss:0.76293186,valid accuracy:63.818992%
loss is 0.762932, is decreasing!! save moddel
epoch:8323/50000,train loss:0.78523894,train accuracy:61.750939%,valid loss:0.76292230,valid accuracy:63.819089%
loss is 0.762922, is decreasing!! save moddel
epoch:8324/50000,train loss:0.78523056,train accuracy:61.751453%,valid loss:0.76291076,valid accuracy:63.819795%
loss is 0.762911, is decreasing!! save moddel
epoch:8325/50000,train loss:0.78522515,train accuracy:61.751920%,valid loss:0.76290164,valid accuracy:63.819892%
loss is 0.762902, is decreasing!! save moddel
epoch:8326/50000,train loss:0.78521999,train accuracy:61.752144%,valid loss:0.76289206,valid accuracy:63.820106%
loss is 0.762892, is decreasing!! save moddel
epoch:8327/50000,train loss:0.78521004,train accuracy:61.752645%,valid loss:0.76288887,valid accuracy:63.819836%
loss is 0.762889, is decreasing!! save moddel
epoch:8328/50000,train loss:0.78520116,train accuracy:61.753044%,valid loss:0.76287985,valid accuracy:63.819947%
loss is 0.762880, is decreasing!! save moddel
epoch:8329/50000,train loss:0.78519547,train accuracy:61.753445%,valid loss:0.76287054,valid accuracy:63.820179%
loss is 0.762871, is decreasing!! save moddel
epoch:8330/50000,train loss:0.78518681,train accuracy:61.754074%,valid loss:0.76286338,valid accuracy:63.820205%
loss is 0.762863, is decreasing!! save moddel
epoch:8331/50000,train loss:0.78517607,train accuracy:61.754856%,valid loss:0.76286469,valid accuracy:63.820124%
epoch:8332/50000,train loss:0.78516536,train accuracy:61.755448%,valid loss:0.76285928,valid accuracy:63.819891%
loss is 0.762859, is decreasing!! save moddel
epoch:8333/50000,train loss:0.78515763,train accuracy:61.755934%,valid loss:0.76284813,valid accuracy:63.820583%
loss is 0.762848, is decreasing!! save moddel
epoch:8334/50000,train loss:0.78514794,train accuracy:61.756744%,valid loss:0.76284268,valid accuracy:63.820698%
loss is 0.762843, is decreasing!! save moddel
epoch:8335/50000,train loss:0.78513713,train accuracy:61.757631%,valid loss:0.76283211,valid accuracy:63.820996%
loss is 0.762832, is decreasing!! save moddel
epoch:8336/50000,train loss:0.78512796,train accuracy:61.758247%,valid loss:0.76282213,valid accuracy:63.821125%
loss is 0.762822, is decreasing!! save moddel
epoch:8337/50000,train loss:0.78511532,train accuracy:61.759259%,valid loss:0.76281363,valid accuracy:63.821230%
loss is 0.762814, is decreasing!! save moddel
epoch:8338/50000,train loss:0.78510408,train accuracy:61.759862%,valid loss:0.76280493,valid accuracy:63.821514%
loss is 0.762805, is decreasing!! save moddel
epoch:8339/50000,train loss:0.78509232,train accuracy:61.760402%,valid loss:0.76279366,valid accuracy:63.822580%
loss is 0.762794, is decreasing!! save moddel
epoch:8340/50000,train loss:0.78508200,train accuracy:61.760856%,valid loss:0.76278324,valid accuracy:63.823757%
loss is 0.762783, is decreasing!! save moddel
epoch:8341/50000,train loss:0.78507154,train accuracy:61.761855%,valid loss:0.76277437,valid accuracy:63.823755%
loss is 0.762774, is decreasing!! save moddel
epoch:8342/50000,train loss:0.78506137,train accuracy:61.762589%,valid loss:0.76276514,valid accuracy:63.823668%
loss is 0.762765, is decreasing!! save moddel
epoch:8343/50000,train loss:0.78505125,train accuracy:61.763491%,valid loss:0.76275771,valid accuracy:63.823689%
loss is 0.762758, is decreasing!! save moddel
epoch:8344/50000,train loss:0.78504215,train accuracy:61.763984%,valid loss:0.76274726,valid accuracy:63.825236%
loss is 0.762747, is decreasing!! save moddel
epoch:8345/50000,train loss:0.78503389,train accuracy:61.764374%,valid loss:0.76273833,valid accuracy:63.825533%
loss is 0.762738, is decreasing!! save moddel
epoch:8346/50000,train loss:0.78503234,train accuracy:61.764393%,valid loss:0.76273657,valid accuracy:63.825362%
loss is 0.762737, is decreasing!! save moddel
epoch:8347/50000,train loss:0.78502986,train accuracy:61.764153%,valid loss:0.76273521,valid accuracy:63.825289%
loss is 0.762735, is decreasing!! save moddel
epoch:8348/50000,train loss:0.78502314,train accuracy:61.764396%,valid loss:0.76272899,valid accuracy:63.825034%
loss is 0.762729, is decreasing!! save moddel
epoch:8349/50000,train loss:0.78502341,train accuracy:61.764083%,valid loss:0.76272870,valid accuracy:63.824984%
loss is 0.762729, is decreasing!! save moddel
epoch:8350/50000,train loss:0.78501460,train accuracy:61.764622%,valid loss:0.76271672,valid accuracy:63.825388%
loss is 0.762717, is decreasing!! save moddel
epoch:8351/50000,train loss:0.78500514,train accuracy:61.765296%,valid loss:0.76270740,valid accuracy:63.826162%
loss is 0.762707, is decreasing!! save moddel
epoch:8352/50000,train loss:0.78499612,train accuracy:61.765551%,valid loss:0.76269729,valid accuracy:63.826173%
loss is 0.762697, is decreasing!! save moddel
epoch:8353/50000,train loss:0.78499170,train accuracy:61.765798%,valid loss:0.76268822,valid accuracy:63.826946%
loss is 0.762688, is decreasing!! save moddel
epoch:8354/50000,train loss:0.78498242,train accuracy:61.766434%,valid loss:0.76267901,valid accuracy:63.827122%
loss is 0.762679, is decreasing!! save moddel
epoch:8355/50000,train loss:0.78497746,train accuracy:61.766612%,valid loss:0.76267084,valid accuracy:63.828203%
loss is 0.762671, is decreasing!! save moddel
epoch:8356/50000,train loss:0.78497895,train accuracy:61.766434%,valid loss:0.76266479,valid accuracy:63.828139%
loss is 0.762665, is decreasing!! save moddel
epoch:8357/50000,train loss:0.78497379,train accuracy:61.766739%,valid loss:0.76265904,valid accuracy:63.827963%
loss is 0.762659, is decreasing!! save moddel
epoch:8358/50000,train loss:0.78496753,train accuracy:61.766953%,valid loss:0.76265036,valid accuracy:63.828357%
loss is 0.762650, is decreasing!! save moddel
epoch:8359/50000,train loss:0.78497321,train accuracy:61.766474%,valid loss:0.76264387,valid accuracy:63.828266%
loss is 0.762644, is decreasing!! save moddel
epoch:8360/50000,train loss:0.78497161,train accuracy:61.766527%,valid loss:0.76264343,valid accuracy:63.828277%
loss is 0.762643, is decreasing!! save moddel
epoch:8361/50000,train loss:0.78496295,train accuracy:61.767034%,valid loss:0.76263736,valid accuracy:63.828302%
loss is 0.762637, is decreasing!! save moddel
epoch:8362/50000,train loss:0.78496015,train accuracy:61.767071%,valid loss:0.76263127,valid accuracy:63.828701%
loss is 0.762631, is decreasing!! save moddel
epoch:8363/50000,train loss:0.78495368,train accuracy:61.767709%,valid loss:0.76262675,valid accuracy:63.828516%
loss is 0.762627, is decreasing!! save moddel
epoch:8364/50000,train loss:0.78494499,train accuracy:61.768020%,valid loss:0.76261984,valid accuracy:63.829110%
loss is 0.762620, is decreasing!! save moddel
epoch:8365/50000,train loss:0.78493934,train accuracy:61.768284%,valid loss:0.76261400,valid accuracy:63.829607%
loss is 0.762614, is decreasing!! save moddel
epoch:8366/50000,train loss:0.78493827,train accuracy:61.768412%,valid loss:0.76262368,valid accuracy:63.829342%
epoch:8367/50000,train loss:0.78493300,train accuracy:61.768627%,valid loss:0.76261774,valid accuracy:63.829358%
epoch:8368/50000,train loss:0.78492974,train accuracy:61.768552%,valid loss:0.76261331,valid accuracy:63.829373%
loss is 0.762613, is decreasing!! save moddel
epoch:8369/50000,train loss:0.78492553,train accuracy:61.768758%,valid loss:0.76262838,valid accuracy:63.828811%
epoch:8370/50000,train loss:0.78494033,train accuracy:61.767886%,valid loss:0.76261946,valid accuracy:63.829008%
epoch:8371/50000,train loss:0.78493771,train accuracy:61.767942%,valid loss:0.76261064,valid accuracy:63.829299%
loss is 0.762611, is decreasing!! save moddel
epoch:8372/50000,train loss:0.78493547,train accuracy:61.768070%,valid loss:0.76260605,valid accuracy:63.829124%
loss is 0.762606, is decreasing!! save moddel
epoch:8373/50000,train loss:0.78492850,train accuracy:61.768390%,valid loss:0.76259801,valid accuracy:63.829060%
loss is 0.762598, is decreasing!! save moddel
epoch:8374/50000,train loss:0.78492115,train accuracy:61.768728%,valid loss:0.76259339,valid accuracy:63.828996%
loss is 0.762593, is decreasing!! save moddel
epoch:8375/50000,train loss:0.78492379,train accuracy:61.768559%,valid loss:0.76258471,valid accuracy:63.829403%
loss is 0.762585, is decreasing!! save moddel
epoch:8376/50000,train loss:0.78491475,train accuracy:61.768848%,valid loss:0.76257672,valid accuracy:63.829726%
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epoch:8377/50000,train loss:0.78491117,train accuracy:61.769080%,valid loss:0.76256932,valid accuracy:63.829844%
loss is 0.762569, is decreasing!! save moddel
epoch:8378/50000,train loss:0.78490734,train accuracy:61.769415%,valid loss:0.76256313,valid accuracy:63.830050%
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epoch:8379/50000,train loss:0.78490190,train accuracy:61.769598%,valid loss:0.76255444,valid accuracy:63.830257%
loss is 0.762554, is decreasing!! save moddel
epoch:8380/50000,train loss:0.78489830,train accuracy:61.769473%,valid loss:0.76254609,valid accuracy:63.831125%
loss is 0.762546, is decreasing!! save moddel
epoch:8381/50000,train loss:0.78489095,train accuracy:61.769998%,valid loss:0.76255533,valid accuracy:63.831066%
epoch:8382/50000,train loss:0.78488301,train accuracy:61.770591%,valid loss:0.76254951,valid accuracy:63.831174%
epoch:8383/50000,train loss:0.78487795,train accuracy:61.770638%,valid loss:0.76253985,valid accuracy:63.831274%
loss is 0.762540, is decreasing!! save moddel
epoch:8384/50000,train loss:0.78486752,train accuracy:61.771540%,valid loss:0.76253293,valid accuracy:63.831475%
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epoch:8385/50000,train loss:0.78485917,train accuracy:61.771871%,valid loss:0.76252753,valid accuracy:63.831602%
loss is 0.762528, is decreasing!! save moddel
epoch:8386/50000,train loss:0.78485194,train accuracy:61.772268%,valid loss:0.76252006,valid accuracy:63.831627%
loss is 0.762520, is decreasing!! save moddel
epoch:8387/50000,train loss:0.78485043,train accuracy:61.772568%,valid loss:0.76251389,valid accuracy:63.832428%
loss is 0.762514, is decreasing!! save moddel
epoch:8388/50000,train loss:0.78485266,train accuracy:61.772400%,valid loss:0.76251083,valid accuracy:63.832262%
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epoch:8389/50000,train loss:0.78484500,train accuracy:61.772661%,valid loss:0.76250153,valid accuracy:63.832729%
loss is 0.762502, is decreasing!! save moddel
epoch:8390/50000,train loss:0.78484194,train accuracy:61.773112%,valid loss:0.76249785,valid accuracy:63.832558%
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epoch:8391/50000,train loss:0.78483518,train accuracy:61.773374%,valid loss:0.76248890,valid accuracy:63.833025%
loss is 0.762489, is decreasing!! save moddel
epoch:8392/50000,train loss:0.78482787,train accuracy:61.774018%,valid loss:0.76248168,valid accuracy:63.833058%
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epoch:8393/50000,train loss:0.78482037,train accuracy:61.774594%,valid loss:0.76247449,valid accuracy:63.833269%
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epoch:8394/50000,train loss:0.78481428,train accuracy:61.775107%,valid loss:0.76246742,valid accuracy:63.833400%
loss is 0.762467, is decreasing!! save moddel
epoch:8395/50000,train loss:0.78480672,train accuracy:61.775485%,valid loss:0.76246021,valid accuracy:63.833508%
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epoch:8396/50000,train loss:0.78479970,train accuracy:61.775875%,valid loss:0.76245611,valid accuracy:63.833537%
loss is 0.762456, is decreasing!! save moddel
epoch:8397/50000,train loss:0.78479505,train accuracy:61.775976%,valid loss:0.76244821,valid accuracy:63.834128%
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epoch:8398/50000,train loss:0.78478946,train accuracy:61.776152%,valid loss:0.76244217,valid accuracy:63.834901%
loss is 0.762442, is decreasing!! save moddel
epoch:8399/50000,train loss:0.78478762,train accuracy:61.776402%,valid loss:0.76243573,valid accuracy:63.836069%
loss is 0.762436, is decreasing!! save moddel
epoch:8400/50000,train loss:0.78478850,train accuracy:61.776414%,valid loss:0.76244047,valid accuracy:63.834954%
epoch:8401/50000,train loss:0.78479403,train accuracy:61.776068%,valid loss:0.76243575,valid accuracy:63.834885%
epoch:8402/50000,train loss:0.78479010,train accuracy:61.776221%,valid loss:0.76243279,valid accuracy:63.834727%
loss is 0.762433, is decreasing!! save moddel
epoch:8403/50000,train loss:0.78478993,train accuracy:61.776120%,valid loss:0.76242835,valid accuracy:63.834881%
loss is 0.762428, is decreasing!! save moddel
epoch:8404/50000,train loss:0.78478620,train accuracy:61.776447%,valid loss:0.76242936,valid accuracy:63.835016%
epoch:8405/50000,train loss:0.78478934,train accuracy:61.776177%,valid loss:0.76242205,valid accuracy:63.835315%
loss is 0.762422, is decreasing!! save moddel
epoch:8406/50000,train loss:0.78478555,train accuracy:61.776380%,valid loss:0.76241622,valid accuracy:63.835450%
loss is 0.762416, is decreasing!! save moddel
epoch:8407/50000,train loss:0.78477993,train accuracy:61.776689%,valid loss:0.76240786,valid accuracy:63.835752%
loss is 0.762408, is decreasing!! save moddel
epoch:8408/50000,train loss:0.78477401,train accuracy:61.776973%,valid loss:0.76240458,valid accuracy:63.835749%
loss is 0.762405, is decreasing!! save moddel
epoch:8409/50000,train loss:0.78476791,train accuracy:61.777247%,valid loss:0.76239684,valid accuracy:63.836126%
loss is 0.762397, is decreasing!! save moddel
epoch:8410/50000,train loss:0.78476251,train accuracy:61.777413%,valid loss:0.76239089,valid accuracy:63.836248%
loss is 0.762391, is decreasing!! save moddel
epoch:8411/50000,train loss:0.78475608,train accuracy:61.777634%,valid loss:0.76238539,valid accuracy:63.836851%
loss is 0.762385, is decreasing!! save moddel
epoch:8412/50000,train loss:0.78474894,train accuracy:61.777948%,valid loss:0.76238867,valid accuracy:63.836504%
epoch:8413/50000,train loss:0.78474514,train accuracy:61.778225%,valid loss:0.76238819,valid accuracy:63.836222%
epoch:8414/50000,train loss:0.78474235,train accuracy:61.778297%,valid loss:0.76238054,valid accuracy:63.836417%
loss is 0.762381, is decreasing!! save moddel
epoch:8415/50000,train loss:0.78473656,train accuracy:61.778487%,valid loss:0.76237375,valid accuracy:63.836418%
loss is 0.762374, is decreasing!! save moddel
epoch:8416/50000,train loss:0.78472784,train accuracy:61.778908%,valid loss:0.76236559,valid accuracy:63.836660%
loss is 0.762366, is decreasing!! save moddel
epoch:8417/50000,train loss:0.78472204,train accuracy:61.779107%,valid loss:0.76235833,valid accuracy:63.837254%
loss is 0.762358, is decreasing!! save moddel
epoch:8418/50000,train loss:0.78471883,train accuracy:61.779164%,valid loss:0.76235104,valid accuracy:63.838326%
loss is 0.762351, is decreasing!! save moddel
epoch:8419/50000,train loss:0.78471159,train accuracy:61.779771%,valid loss:0.76234333,valid accuracy:63.838517%
loss is 0.762343, is decreasing!! save moddel
epoch:8420/50000,train loss:0.78470675,train accuracy:61.779890%,valid loss:0.76234061,valid accuracy:63.838355%
loss is 0.762341, is decreasing!! save moddel
epoch:8421/50000,train loss:0.78469921,train accuracy:61.780297%,valid loss:0.76233882,valid accuracy:63.838087%
loss is 0.762339, is decreasing!! save moddel
epoch:8422/50000,train loss:0.78469854,train accuracy:61.780042%,valid loss:0.76233250,valid accuracy:63.838764%
loss is 0.762333, is decreasing!! save moddel
epoch:8423/50000,train loss:0.78469334,train accuracy:61.780526%,valid loss:0.76232819,valid accuracy:63.839066%
loss is 0.762328, is decreasing!! save moddel
epoch:8424/50000,train loss:0.78468810,train accuracy:61.780879%,valid loss:0.76232437,valid accuracy:63.838890%
loss is 0.762324, is decreasing!! save moddel
epoch:8425/50000,train loss:0.78468957,train accuracy:61.780617%,valid loss:0.76232287,valid accuracy:63.838798%
loss is 0.762323, is decreasing!! save moddel
epoch:8426/50000,train loss:0.78468442,train accuracy:61.780853%,valid loss:0.76231725,valid accuracy:63.839948%
loss is 0.762317, is decreasing!! save moddel
epoch:8427/50000,train loss:0.78468616,train accuracy:61.780483%,valid loss:0.76231116,valid accuracy:63.840055%
loss is 0.762311, is decreasing!! save moddel
epoch:8428/50000,train loss:0.78468673,train accuracy:61.780361%,valid loss:0.76231004,valid accuracy:63.839795%
loss is 0.762310, is decreasing!! save moddel
epoch:8429/50000,train loss:0.78468181,train accuracy:61.780754%,valid loss:0.76230361,valid accuracy:63.840569%
loss is 0.762304, is decreasing!! save moddel
epoch:8430/50000,train loss:0.78467563,train accuracy:61.781206%,valid loss:0.76229783,valid accuracy:63.840861%
loss is 0.762298, is decreasing!! save moddel
epoch:8431/50000,train loss:0.78466865,train accuracy:61.781550%,valid loss:0.76229316,valid accuracy:63.840598%
loss is 0.762293, is decreasing!! save moddel
epoch:8432/50000,train loss:0.78466523,train accuracy:61.781520%,valid loss:0.76228837,valid accuracy:63.840625%
loss is 0.762288, is decreasing!! save moddel
epoch:8433/50000,train loss:0.78465830,train accuracy:61.781833%,valid loss:0.76228117,valid accuracy:63.841107%
loss is 0.762281, is decreasing!! save moddel
epoch:8434/50000,train loss:0.78465402,train accuracy:61.782228%,valid loss:0.76227688,valid accuracy:63.841126%
loss is 0.762277, is decreasing!! save moddel
epoch:8435/50000,train loss:0.78464754,train accuracy:61.782627%,valid loss:0.76227078,valid accuracy:63.841043%
loss is 0.762271, is decreasing!! save moddel
epoch:8436/50000,train loss:0.78464027,train accuracy:61.782730%,valid loss:0.76226762,valid accuracy:63.840978%
loss is 0.762268, is decreasing!! save moddel
epoch:8437/50000,train loss:0.78464000,train accuracy:61.782496%,valid loss:0.76226278,valid accuracy:63.841006%
loss is 0.762263, is decreasing!! save moddel
epoch:8438/50000,train loss:0.78463339,train accuracy:61.783107%,valid loss:0.76225599,valid accuracy:63.842107%
loss is 0.762256, is decreasing!! save moddel
epoch:8439/50000,train loss:0.78462603,train accuracy:61.783635%,valid loss:0.76225724,valid accuracy:63.841843%
epoch:8440/50000,train loss:0.78461884,train accuracy:61.783996%,valid loss:0.76226695,valid accuracy:63.841672%
epoch:8441/50000,train loss:0.78461904,train accuracy:61.783992%,valid loss:0.76227536,valid accuracy:63.840345%
epoch:8442/50000,train loss:0.78461701,train accuracy:61.784082%,valid loss:0.76227104,valid accuracy:63.840368%
epoch:8443/50000,train loss:0.78460991,train accuracy:61.784394%,valid loss:0.76226978,valid accuracy:63.840276%
epoch:8444/50000,train loss:0.78460655,train accuracy:61.784636%,valid loss:0.76226902,valid accuracy:63.840216%
epoch:8445/50000,train loss:0.78460549,train accuracy:61.784628%,valid loss:0.76226405,valid accuracy:63.840045%
epoch:8446/50000,train loss:0.78459806,train accuracy:61.784897%,valid loss:0.76225865,valid accuracy:63.839879%
epoch:8447/50000,train loss:0.78459424,train accuracy:61.785103%,valid loss:0.76225714,valid accuracy:63.839902%
epoch:8448/50000,train loss:0.78459264,train accuracy:61.785286%,valid loss:0.76225318,valid accuracy:63.839903%
loss is 0.762253, is decreasing!! save moddel
epoch:8449/50000,train loss:0.78459431,train accuracy:61.785154%,valid loss:0.76224883,valid accuracy:63.839797%
loss is 0.762249, is decreasing!! save moddel
epoch:8450/50000,train loss:0.78458824,train accuracy:61.785482%,valid loss:0.76224525,valid accuracy:63.839552%
loss is 0.762245, is decreasing!! save moddel
epoch:8451/50000,train loss:0.78458378,train accuracy:61.785560%,valid loss:0.76223999,valid accuracy:63.839857%
loss is 0.762240, is decreasing!! save moddel
epoch:8452/50000,train loss:0.78458207,train accuracy:61.785454%,valid loss:0.76224360,valid accuracy:63.839603%
epoch:8453/50000,train loss:0.78457692,train accuracy:61.785529%,valid loss:0.76223726,valid accuracy:63.839895%
loss is 0.762237, is decreasing!! save moddel
epoch:8454/50000,train loss:0.78457084,train accuracy:61.785838%,valid loss:0.76223411,valid accuracy:63.839724%
loss is 0.762234, is decreasing!! save moddel
epoch:8455/50000,train loss:0.78456798,train accuracy:61.785901%,valid loss:0.76224255,valid accuracy:63.838316%
epoch:8456/50000,train loss:0.78456791,train accuracy:61.785614%,valid loss:0.76223784,valid accuracy:63.838700%
epoch:8457/50000,train loss:0.78457215,train accuracy:61.785546%,valid loss:0.76225239,valid accuracy:63.838253%
epoch:8458/50000,train loss:0.78457035,train accuracy:61.785595%,valid loss:0.76224669,valid accuracy:63.838369%
epoch:8459/50000,train loss:0.78456305,train accuracy:61.786149%,valid loss:0.76223949,valid accuracy:63.838674%
epoch:8460/50000,train loss:0.78455755,train accuracy:61.786350%,valid loss:0.76223692,valid accuracy:63.838600%
epoch:8461/50000,train loss:0.78455908,train accuracy:61.786129%,valid loss:0.76225078,valid accuracy:63.838056%
epoch:8462/50000,train loss:0.78455962,train accuracy:61.786185%,valid loss:0.76224567,valid accuracy:63.838361%
epoch:8463/50000,train loss:0.78455423,train accuracy:61.786680%,valid loss:0.76224329,valid accuracy:63.838177%
epoch:8464/50000,train loss:0.78454768,train accuracy:61.787061%,valid loss:0.76223846,valid accuracy:63.837998%
epoch:8465/50000,train loss:0.78454013,train accuracy:61.787686%,valid loss:0.76223889,valid accuracy:63.837832%
epoch:8466/50000,train loss:0.78453903,train accuracy:61.787448%,valid loss:0.76223381,valid accuracy:63.837736%
loss is 0.762234, is decreasing!! save moddel
epoch:8467/50000,train loss:0.78453589,train accuracy:61.787547%,valid loss:0.76222805,valid accuracy:63.837742%
loss is 0.762228, is decreasing!! save moddel
epoch:8468/50000,train loss:0.78452800,train accuracy:61.788083%,valid loss:0.76222122,valid accuracy:63.838780%
loss is 0.762221, is decreasing!! save moddel
epoch:8469/50000,train loss:0.78452442,train accuracy:61.788191%,valid loss:0.76221752,valid accuracy:63.838909%
loss is 0.762218, is decreasing!! save moddel
epoch:8470/50000,train loss:0.78451908,train accuracy:61.788863%,valid loss:0.76220985,valid accuracy:63.839227%
loss is 0.762210, is decreasing!! save moddel
epoch:8471/50000,train loss:0.78451566,train accuracy:61.788876%,valid loss:0.76220488,valid accuracy:63.839343%
loss is 0.762205, is decreasing!! save moddel
epoch:8472/50000,train loss:0.78451234,train accuracy:61.788937%,valid loss:0.76220463,valid accuracy:63.839177%
loss is 0.762205, is decreasing!! save moddel
epoch:8473/50000,train loss:0.78450517,train accuracy:61.789450%,valid loss:0.76220248,valid accuracy:63.839099%
loss is 0.762202, is decreasing!! save moddel
epoch:8474/50000,train loss:0.78450199,train accuracy:61.789591%,valid loss:0.76219627,valid accuracy:63.839219%
loss is 0.762196, is decreasing!! save moddel
epoch:8475/50000,train loss:0.78449666,train accuracy:61.790015%,valid loss:0.76219151,valid accuracy:63.839229%
loss is 0.762192, is decreasing!! save moddel
epoch:8476/50000,train loss:0.78449114,train accuracy:61.790472%,valid loss:0.76218621,valid accuracy:63.839718%
loss is 0.762186, is decreasing!! save moddel
epoch:8477/50000,train loss:0.78448554,train accuracy:61.790905%,valid loss:0.76218856,valid accuracy:63.839244%
epoch:8478/50000,train loss:0.78448965,train accuracy:61.790519%,valid loss:0.76218789,valid accuracy:63.838613%
epoch:8479/50000,train loss:0.78448517,train accuracy:61.790602%,valid loss:0.76218504,valid accuracy:63.838517%
loss is 0.762185, is decreasing!! save moddel
epoch:8480/50000,train loss:0.78449060,train accuracy:61.790248%,valid loss:0.76218008,valid accuracy:63.838532%
loss is 0.762180, is decreasing!! save moddel
epoch:8481/50000,train loss:0.78448601,train accuracy:61.790300%,valid loss:0.76217565,valid accuracy:63.838252%
loss is 0.762176, is decreasing!! save moddel
epoch:8482/50000,train loss:0.78447916,train accuracy:61.790567%,valid loss:0.76216838,valid accuracy:63.838565%
loss is 0.762168, is decreasing!! save moddel
epoch:8483/50000,train loss:0.78447333,train accuracy:61.791122%,valid loss:0.76216182,valid accuracy:63.838860%
loss is 0.762162, is decreasing!! save moddel
epoch:8484/50000,train loss:0.78446883,train accuracy:61.791361%,valid loss:0.76215543,valid accuracy:63.839923%
loss is 0.762155, is decreasing!! save moddel
epoch:8485/50000,train loss:0.78446090,train accuracy:61.791836%,valid loss:0.76214974,valid accuracy:63.840982%
loss is 0.762150, is decreasing!! save moddel
epoch:8486/50000,train loss:0.78446165,train accuracy:61.791628%,valid loss:0.76214606,valid accuracy:63.840803%
loss is 0.762146, is decreasing!! save moddel
epoch:8487/50000,train loss:0.78445506,train accuracy:61.791901%,valid loss:0.76214052,valid accuracy:63.840900%
loss is 0.762141, is decreasing!! save moddel
epoch:8488/50000,train loss:0.78444909,train accuracy:61.792348%,valid loss:0.76213788,valid accuracy:63.840624%
loss is 0.762138, is decreasing!! save moddel
epoch:8489/50000,train loss:0.78444147,train accuracy:61.792639%,valid loss:0.76213197,valid accuracy:63.841489%
loss is 0.762132, is decreasing!! save moddel
epoch:8490/50000,train loss:0.78443589,train accuracy:61.793148%,valid loss:0.76212833,valid accuracy:63.841314%
loss is 0.762128, is decreasing!! save moddel
epoch:8491/50000,train loss:0.78443008,train accuracy:61.793475%,valid loss:0.76212283,valid accuracy:63.841434%
loss is 0.762123, is decreasing!! save moddel
epoch:8492/50000,train loss:0.78442995,train accuracy:61.793359%,valid loss:0.76212288,valid accuracy:63.841098%
epoch:8493/50000,train loss:0.78442406,train accuracy:61.793831%,valid loss:0.76211892,valid accuracy:63.841016%
loss is 0.762119, is decreasing!! save moddel
epoch:8494/50000,train loss:0.78441791,train accuracy:61.794259%,valid loss:0.76211502,valid accuracy:63.840947%
loss is 0.762115, is decreasing!! save moddel
epoch:8495/50000,train loss:0.78441440,train accuracy:61.794033%,valid loss:0.76212276,valid accuracy:63.840501%
epoch:8496/50000,train loss:0.78440917,train accuracy:61.794473%,valid loss:0.76211811,valid accuracy:63.840510%
epoch:8497/50000,train loss:0.78440684,train accuracy:61.794301%,valid loss:0.76211184,valid accuracy:63.840731%
loss is 0.762112, is decreasing!! save moddel
epoch:8498/50000,train loss:0.78440111,train accuracy:61.794601%,valid loss:0.76210654,valid accuracy:63.841223%
loss is 0.762107, is decreasing!! save moddel
epoch:8499/50000,train loss:0.78439792,train accuracy:61.794733%,valid loss:0.76211040,valid accuracy:63.840663%
epoch:8500/50000,train loss:0.78439715,train accuracy:61.794812%,valid loss:0.76210543,valid accuracy:63.841462%
loss is 0.762105, is decreasing!! save moddel
epoch:8501/50000,train loss:0.78439317,train accuracy:61.794870%,valid loss:0.76209895,valid accuracy:63.842495%
loss is 0.762099, is decreasing!! save moddel
epoch:8502/50000,train loss:0.78438494,train accuracy:61.795129%,valid loss:0.76209591,valid accuracy:63.842110%
loss is 0.762096, is decreasing!! save moddel
epoch:8503/50000,train loss:0.78437861,train accuracy:61.795419%,valid loss:0.76208980,valid accuracy:63.842234%
loss is 0.762090, is decreasing!! save moddel
epoch:8504/50000,train loss:0.78437843,train accuracy:61.794989%,valid loss:0.76208362,valid accuracy:63.842344%
loss is 0.762084, is decreasing!! save moddel
epoch:8505/50000,train loss:0.78437417,train accuracy:61.795047%,valid loss:0.76207744,valid accuracy:63.843313%
loss is 0.762077, is decreasing!! save moddel
epoch:8506/50000,train loss:0.78436899,train accuracy:61.795680%,valid loss:0.76207535,valid accuracy:63.843138%
loss is 0.762075, is decreasing!! save moddel
epoch:8507/50000,train loss:0.78436356,train accuracy:61.796052%,valid loss:0.76206951,valid accuracy:63.844184%
loss is 0.762070, is decreasing!! save moddel
epoch:8508/50000,train loss:0.78436695,train accuracy:61.795701%,valid loss:0.76207226,valid accuracy:63.843918%
epoch:8509/50000,train loss:0.78435860,train accuracy:61.796275%,valid loss:0.76206491,valid accuracy:63.844418%
loss is 0.762065, is decreasing!! save moddel
epoch:8510/50000,train loss:0.78435596,train accuracy:61.796410%,valid loss:0.76206593,valid accuracy:63.844051%
epoch:8511/50000,train loss:0.78435203,train accuracy:61.796829%,valid loss:0.76206604,valid accuracy:63.843587%
epoch:8512/50000,train loss:0.78434825,train accuracy:61.797110%,valid loss:0.76205815,valid accuracy:63.844170%
loss is 0.762058, is decreasing!! save moddel
epoch:8513/50000,train loss:0.78433999,train accuracy:61.797629%,valid loss:0.76205335,valid accuracy:63.843908%
loss is 0.762053, is decreasing!! save moddel
epoch:8514/50000,train loss:0.78433369,train accuracy:61.797900%,valid loss:0.76205207,valid accuracy:63.843651%
loss is 0.762052, is decreasing!! save moddel
epoch:8515/50000,train loss:0.78433018,train accuracy:61.798116%,valid loss:0.76204791,valid accuracy:63.843582%
loss is 0.762048, is decreasing!! save moddel
epoch:8516/50000,train loss:0.78432908,train accuracy:61.797998%,valid loss:0.76204559,valid accuracy:63.843238%
loss is 0.762046, is decreasing!! save moddel
epoch:8517/50000,train loss:0.78432403,train accuracy:61.798095%,valid loss:0.76204097,valid accuracy:63.842903%
loss is 0.762041, is decreasing!! save moddel
epoch:8518/50000,train loss:0.78431708,train accuracy:61.798458%,valid loss:0.76203344,valid accuracy:63.843975%
loss is 0.762033, is decreasing!! save moddel
epoch:8519/50000,train loss:0.78431042,train accuracy:61.799169%,valid loss:0.76202754,valid accuracy:63.843984%
loss is 0.762028, is decreasing!! save moddel
epoch:8520/50000,train loss:0.78430272,train accuracy:61.799758%,valid loss:0.76201980,valid accuracy:63.844763%
loss is 0.762020, is decreasing!! save moddel
epoch:8521/50000,train loss:0.78429922,train accuracy:61.800296%,valid loss:0.76201480,valid accuracy:63.844684%
loss is 0.762015, is decreasing!! save moddel
epoch:8522/50000,train loss:0.78429130,train accuracy:61.800964%,valid loss:0.76200863,valid accuracy:63.844968%
loss is 0.762009, is decreasing!! save moddel
epoch:8523/50000,train loss:0.78429203,train accuracy:61.800651%,valid loss:0.76200176,valid accuracy:63.845188%
loss is 0.762002, is decreasing!! save moddel
epoch:8524/50000,train loss:0.78428859,train accuracy:61.800741%,valid loss:0.76199472,valid accuracy:63.846044%
loss is 0.761995, is decreasing!! save moddel
epoch:8525/50000,train loss:0.78428581,train accuracy:61.801109%,valid loss:0.76198586,valid accuracy:63.846639%
loss is 0.761986, is decreasing!! save moddel
epoch:8526/50000,train loss:0.78428064,train accuracy:61.801578%,valid loss:0.76197950,valid accuracy:63.846551%
loss is 0.761980, is decreasing!! save moddel
epoch:8527/50000,train loss:0.78427347,train accuracy:61.802087%,valid loss:0.76197256,valid accuracy:63.846473%
loss is 0.761973, is decreasing!! save moddel
epoch:8528/50000,train loss:0.78426643,train accuracy:61.802494%,valid loss:0.76196421,valid accuracy:63.847704%
loss is 0.761964, is decreasing!! save moddel
epoch:8529/50000,train loss:0.78425850,train accuracy:61.802975%,valid loss:0.76195720,valid accuracy:63.847722%
loss is 0.761957, is decreasing!! save moddel
epoch:8530/50000,train loss:0.78425022,train accuracy:61.803550%,valid loss:0.76194868,valid accuracy:63.848202%
loss is 0.761949, is decreasing!! save moddel
epoch:8531/50000,train loss:0.78424479,train accuracy:61.804122%,valid loss:0.76194118,valid accuracy:63.848599%
loss is 0.761941, is decreasing!! save moddel
epoch:8532/50000,train loss:0.78424288,train accuracy:61.804453%,valid loss:0.76193914,valid accuracy:63.848233%
loss is 0.761939, is decreasing!! save moddel
epoch:8533/50000,train loss:0.78423577,train accuracy:61.804814%,valid loss:0.76193231,valid accuracy:63.849065%
loss is 0.761932, is decreasing!! save moddel
epoch:8534/50000,train loss:0.78423115,train accuracy:61.805345%,valid loss:0.76192720,valid accuracy:63.849060%
loss is 0.761927, is decreasing!! save moddel
epoch:8535/50000,train loss:0.78422459,train accuracy:61.806002%,valid loss:0.76192499,valid accuracy:63.849091%
loss is 0.761925, is decreasing!! save moddel
epoch:8536/50000,train loss:0.78422001,train accuracy:61.806241%,valid loss:0.76191878,valid accuracy:63.849127%
loss is 0.761919, is decreasing!! save moddel
epoch:8537/50000,train loss:0.78421578,train accuracy:61.806239%,valid loss:0.76191168,valid accuracy:63.850068%
loss is 0.761912, is decreasing!! save moddel
epoch:8538/50000,train loss:0.78420933,train accuracy:61.806588%,valid loss:0.76190766,valid accuracy:63.850164%
loss is 0.761908, is decreasing!! save moddel
epoch:8539/50000,train loss:0.78420085,train accuracy:61.807149%,valid loss:0.76190802,valid accuracy:63.849980%
epoch:8540/50000,train loss:0.78419319,train accuracy:61.807592%,valid loss:0.76190603,valid accuracy:63.849832%
loss is 0.761906, is decreasing!! save moddel
epoch:8541/50000,train loss:0.78418377,train accuracy:61.808217%,valid loss:0.76189835,valid accuracy:63.850613%
loss is 0.761898, is decreasing!! save moddel
epoch:8542/50000,train loss:0.78419022,train accuracy:61.807654%,valid loss:0.76189910,valid accuracy:63.850142%
epoch:8543/50000,train loss:0.78418179,train accuracy:61.808172%,valid loss:0.76189348,valid accuracy:63.849885%
loss is 0.761893, is decreasing!! save moddel
epoch:8544/50000,train loss:0.78417650,train accuracy:61.808557%,valid loss:0.76188605,valid accuracy:63.850565%
loss is 0.761886, is decreasing!! save moddel
epoch:8545/50000,train loss:0.78417064,train accuracy:61.808881%,valid loss:0.76188520,valid accuracy:63.850111%
loss is 0.761885, is decreasing!! save moddel
epoch:8546/50000,train loss:0.78416985,train accuracy:61.808986%,valid loss:0.76188240,valid accuracy:63.849928%
loss is 0.761882, is decreasing!! save moddel
epoch:8547/50000,train loss:0.78416501,train accuracy:61.809353%,valid loss:0.76188437,valid accuracy:63.849383%
epoch:8548/50000,train loss:0.78415856,train accuracy:61.809783%,valid loss:0.76187835,valid accuracy:63.849205%
loss is 0.761878, is decreasing!! save moddel
epoch:8549/50000,train loss:0.78414966,train accuracy:61.810139%,valid loss:0.76187594,valid accuracy:63.849035%
loss is 0.761876, is decreasing!! save moddel
epoch:8550/50000,train loss:0.78415075,train accuracy:61.809937%,valid loss:0.76187469,valid accuracy:63.848765%
loss is 0.761875, is decreasing!! save moddel
epoch:8551/50000,train loss:0.78414548,train accuracy:61.810140%,valid loss:0.76187006,valid accuracy:63.849449%
loss is 0.761870, is decreasing!! save moddel
epoch:8552/50000,train loss:0.78414300,train accuracy:61.810309%,valid loss:0.76186851,valid accuracy:63.849562%
loss is 0.761869, is decreasing!! save moddel
epoch:8553/50000,train loss:0.78413859,train accuracy:61.810416%,valid loss:0.76186521,valid accuracy:63.849410%
loss is 0.761865, is decreasing!! save moddel
epoch:8554/50000,train loss:0.78413187,train accuracy:61.810547%,valid loss:0.76185993,valid accuracy:63.849884%
loss is 0.761860, is decreasing!! save moddel
epoch:8555/50000,train loss:0.78412608,train accuracy:61.810871%,valid loss:0.76185861,valid accuracy:63.849523%
loss is 0.761859, is decreasing!! save moddel
epoch:8556/50000,train loss:0.78412541,train accuracy:61.810906%,valid loss:0.76185763,valid accuracy:63.849152%
loss is 0.761858, is decreasing!! save moddel
epoch:8557/50000,train loss:0.78412559,train accuracy:61.810886%,valid loss:0.76185903,valid accuracy:63.848517%
epoch:8558/50000,train loss:0.78412006,train accuracy:61.810795%,valid loss:0.76185483,valid accuracy:63.848722%
loss is 0.761855, is decreasing!! save moddel
epoch:8559/50000,train loss:0.78411435,train accuracy:61.811312%,valid loss:0.76185034,valid accuracy:63.848566%
loss is 0.761850, is decreasing!! save moddel
epoch:8560/50000,train loss:0.78410768,train accuracy:61.811693%,valid loss:0.76184835,valid accuracy:63.848209%
loss is 0.761848, is decreasing!! save moddel
epoch:8561/50000,train loss:0.78410166,train accuracy:61.812330%,valid loss:0.76184732,valid accuracy:63.847935%
loss is 0.761847, is decreasing!! save moddel
epoch:8562/50000,train loss:0.78409425,train accuracy:61.812983%,valid loss:0.76184242,valid accuracy:63.847761%
loss is 0.761842, is decreasing!! save moddel
epoch:8563/50000,train loss:0.78408639,train accuracy:61.813546%,valid loss:0.76183644,valid accuracy:63.848244%
loss is 0.761836, is decreasing!! save moddel
epoch:8564/50000,train loss:0.78407979,train accuracy:61.814160%,valid loss:0.76183233,valid accuracy:63.848179%
loss is 0.761832, is decreasing!! save moddel
epoch:8565/50000,train loss:0.78407283,train accuracy:61.814732%,valid loss:0.76184103,valid accuracy:63.847923%
epoch:8566/50000,train loss:0.78407860,train accuracy:61.814403%,valid loss:0.76183532,valid accuracy:63.847658%
epoch:8567/50000,train loss:0.78407568,train accuracy:61.814537%,valid loss:0.76184018,valid accuracy:63.847398%
epoch:8568/50000,train loss:0.78407915,train accuracy:61.814379%,valid loss:0.76183497,valid accuracy:63.847425%
epoch:8569/50000,train loss:0.78407473,train accuracy:61.814857%,valid loss:0.76184032,valid accuracy:63.847073%
epoch:8570/50000,train loss:0.78408253,train accuracy:61.814253%,valid loss:0.76183740,valid accuracy:63.847082%
epoch:8571/50000,train loss:0.78408464,train accuracy:61.813913%,valid loss:0.76183518,valid accuracy:63.847104%
epoch:8572/50000,train loss:0.78407721,train accuracy:61.814469%,valid loss:0.76182897,valid accuracy:63.847204%
loss is 0.761829, is decreasing!! save moddel
epoch:8573/50000,train loss:0.78407075,train accuracy:61.815392%,valid loss:0.76182194,valid accuracy:63.847499%
loss is 0.761822, is decreasing!! save moddel
epoch:8574/50000,train loss:0.78406327,train accuracy:61.815818%,valid loss:0.76181987,valid accuracy:63.847603%
loss is 0.761820, is decreasing!! save moddel
epoch:8575/50000,train loss:0.78406220,train accuracy:61.815854%,valid loss:0.76181455,valid accuracy:63.847812%
loss is 0.761815, is decreasing!! save moddel
epoch:8576/50000,train loss:0.78405393,train accuracy:61.816188%,valid loss:0.76181500,valid accuracy:63.847743%
epoch:8577/50000,train loss:0.78404699,train accuracy:61.816785%,valid loss:0.76181305,valid accuracy:63.847852%
loss is 0.761813, is decreasing!! save moddel
epoch:8578/50000,train loss:0.78403923,train accuracy:61.817186%,valid loss:0.76181068,valid accuracy:63.847969%
loss is 0.761811, is decreasing!! save moddel
epoch:8579/50000,train loss:0.78403547,train accuracy:61.817474%,valid loss:0.76180633,valid accuracy:63.848069%
loss is 0.761806, is decreasing!! save moddel
epoch:8580/50000,train loss:0.78402758,train accuracy:61.818108%,valid loss:0.76180218,valid accuracy:63.848187%
loss is 0.761802, is decreasing!! save moddel
epoch:8581/50000,train loss:0.78402062,train accuracy:61.818387%,valid loss:0.76179628,valid accuracy:63.848482%
loss is 0.761796, is decreasing!! save moddel
epoch:8582/50000,train loss:0.78401877,train accuracy:61.818747%,valid loss:0.76179561,valid accuracy:63.848317%
loss is 0.761796, is decreasing!! save moddel
epoch:8583/50000,train loss:0.78401605,train accuracy:61.818689%,valid loss:0.76178869,valid accuracy:63.849367%
loss is 0.761789, is decreasing!! save moddel
epoch:8584/50000,train loss:0.78400990,train accuracy:61.819165%,valid loss:0.76178149,valid accuracy:63.850230%
loss is 0.761781, is decreasing!! save moddel
epoch:8585/50000,train loss:0.78400469,train accuracy:61.819635%,valid loss:0.76177637,valid accuracy:63.850239%
loss is 0.761776, is decreasing!! save moddel
epoch:8586/50000,train loss:0.78400427,train accuracy:61.819740%,valid loss:0.76178074,valid accuracy:63.849960%
epoch:8587/50000,train loss:0.78400311,train accuracy:61.819634%,valid loss:0.76177466,valid accuracy:63.850060%
loss is 0.761775, is decreasing!! save moddel
epoch:8588/50000,train loss:0.78400455,train accuracy:61.819455%,valid loss:0.76177234,valid accuracy:63.849722%
loss is 0.761772, is decreasing!! save moddel
epoch:8589/50000,train loss:0.78400374,train accuracy:61.819262%,valid loss:0.76176971,valid accuracy:63.849467%
loss is 0.761770, is decreasing!! save moddel
epoch:8590/50000,train loss:0.78399749,train accuracy:61.819794%,valid loss:0.76176360,valid accuracy:63.850529%
loss is 0.761764, is decreasing!! save moddel
epoch:8591/50000,train loss:0.78399501,train accuracy:61.819979%,valid loss:0.76176511,valid accuracy:63.850260%
epoch:8592/50000,train loss:0.78398872,train accuracy:61.820288%,valid loss:0.76176182,valid accuracy:63.850464%
loss is 0.761762, is decreasing!! save moddel
epoch:8593/50000,train loss:0.78399495,train accuracy:61.819897%,valid loss:0.76175712,valid accuracy:63.850672%
loss is 0.761757, is decreasing!! save moddel
epoch:8594/50000,train loss:0.78399164,train accuracy:61.820181%,valid loss:0.76175306,valid accuracy:63.850871%
loss is 0.761753, is decreasing!! save moddel
epoch:8595/50000,train loss:0.78398625,train accuracy:61.820586%,valid loss:0.76175227,valid accuracy:63.850420%
loss is 0.761752, is decreasing!! save moddel
epoch:8596/50000,train loss:0.78399051,train accuracy:61.820301%,valid loss:0.76174697,valid accuracy:63.851468%
loss is 0.761747, is decreasing!! save moddel
epoch:8597/50000,train loss:0.78398992,train accuracy:61.820343%,valid loss:0.76174117,valid accuracy:63.851866%
loss is 0.761741, is decreasing!! save moddel
epoch:8598/50000,train loss:0.78398327,train accuracy:61.820740%,valid loss:0.76174076,valid accuracy:63.851602%
loss is 0.761741, is decreasing!! save moddel
epoch:8599/50000,train loss:0.78398090,train accuracy:61.820713%,valid loss:0.76173739,valid accuracy:63.851787%
loss is 0.761737, is decreasing!! save moddel
epoch:8600/50000,train loss:0.78397605,train accuracy:61.821160%,valid loss:0.76173188,valid accuracy:63.852177%
loss is 0.761732, is decreasing!! save moddel
epoch:8601/50000,train loss:0.78397442,train accuracy:61.821148%,valid loss:0.76172748,valid accuracy:63.852198%
loss is 0.761727, is decreasing!! save moddel
epoch:8602/50000,train loss:0.78397156,train accuracy:61.820993%,valid loss:0.76172721,valid accuracy:63.851679%
loss is 0.761727, is decreasing!! save moddel
epoch:8603/50000,train loss:0.78396722,train accuracy:61.821392%,valid loss:0.76172240,valid accuracy:63.851878%
loss is 0.761722, is decreasing!! save moddel
epoch:8604/50000,train loss:0.78396343,train accuracy:61.821667%,valid loss:0.76172476,valid accuracy:63.851432%
epoch:8605/50000,train loss:0.78395911,train accuracy:61.822271%,valid loss:0.76171957,valid accuracy:63.851930%
loss is 0.761720, is decreasing!! save moddel
epoch:8606/50000,train loss:0.78395549,train accuracy:61.822464%,valid loss:0.76171543,valid accuracy:63.852215%
loss is 0.761715, is decreasing!! save moddel
epoch:8607/50000,train loss:0.78395363,train accuracy:61.822593%,valid loss:0.76172068,valid accuracy:63.851946%
epoch:8608/50000,train loss:0.78395124,train accuracy:61.823030%,valid loss:0.76171725,valid accuracy:63.852322%
epoch:8609/50000,train loss:0.78395283,train accuracy:61.822948%,valid loss:0.76171337,valid accuracy:63.853368%
loss is 0.761713, is decreasing!! save moddel
epoch:8610/50000,train loss:0.78395493,train accuracy:61.823019%,valid loss:0.76171016,valid accuracy:63.853389%
loss is 0.761710, is decreasing!! save moddel
epoch:8611/50000,train loss:0.78395196,train accuracy:61.823090%,valid loss:0.76170976,valid accuracy:63.853134%
loss is 0.761710, is decreasing!! save moddel
epoch:8612/50000,train loss:0.78395114,train accuracy:61.823216%,valid loss:0.76170884,valid accuracy:63.852879%
loss is 0.761709, is decreasing!! save moddel
epoch:8613/50000,train loss:0.78394651,train accuracy:61.823554%,valid loss:0.76170707,valid accuracy:63.852723%
loss is 0.761707, is decreasing!! save moddel
epoch:8614/50000,train loss:0.78394480,train accuracy:61.823569%,valid loss:0.76170557,valid accuracy:63.852463%
loss is 0.761706, is decreasing!! save moddel
epoch:8615/50000,train loss:0.78394980,train accuracy:61.823200%,valid loss:0.76170612,valid accuracy:63.852584%
epoch:8616/50000,train loss:0.78394854,train accuracy:61.823122%,valid loss:0.76170702,valid accuracy:63.852329%
epoch:8617/50000,train loss:0.78394722,train accuracy:61.823457%,valid loss:0.76170785,valid accuracy:63.851712%
epoch:8618/50000,train loss:0.78394660,train accuracy:61.823534%,valid loss:0.76170706,valid accuracy:63.852114%
epoch:8619/50000,train loss:0.78394692,train accuracy:61.823362%,valid loss:0.76171145,valid accuracy:63.851397%
epoch:8620/50000,train loss:0.78394663,train accuracy:61.823186%,valid loss:0.76171256,valid accuracy:63.850965%
epoch:8621/50000,train loss:0.78395022,train accuracy:61.823154%,valid loss:0.76171120,valid accuracy:63.851159%
epoch:8622/50000,train loss:0.78395616,train accuracy:61.822786%,valid loss:0.76171024,valid accuracy:63.851362%
epoch:8623/50000,train loss:0.78395953,train accuracy:61.822562%,valid loss:0.76171110,valid accuracy:63.851007%
epoch:8624/50000,train loss:0.78396864,train accuracy:61.821840%,valid loss:0.76170877,valid accuracy:63.851215%
epoch:8625/50000,train loss:0.78396676,train accuracy:61.821822%,valid loss:0.76171002,valid accuracy:63.850589%
epoch:8626/50000,train loss:0.78396921,train accuracy:61.821749%,valid loss:0.76171063,valid accuracy:63.850339%
epoch:8627/50000,train loss:0.78396680,train accuracy:61.822119%,valid loss:0.76170939,valid accuracy:63.850438%
epoch:8628/50000,train loss:0.78396881,train accuracy:61.821836%,valid loss:0.76171693,valid accuracy:63.850278%
epoch:8629/50000,train loss:0.78397785,train accuracy:61.821328%,valid loss:0.76171415,valid accuracy:63.850576%
epoch:8630/50000,train loss:0.78397929,train accuracy:61.821445%,valid loss:0.76171284,valid accuracy:63.850498%
epoch:8631/50000,train loss:0.78398005,train accuracy:61.821535%,valid loss:0.76171370,valid accuracy:63.849976%
epoch:8632/50000,train loss:0.78397718,train accuracy:61.821625%,valid loss:0.76171123,valid accuracy:63.850098%
epoch:8633/50000,train loss:0.78398962,train accuracy:61.821057%,valid loss:0.76171748,valid accuracy:63.849839%
epoch:8634/50000,train loss:0.78398894,train accuracy:61.821002%,valid loss:0.76172346,valid accuracy:63.849693%
epoch:8635/50000,train loss:0.78398704,train accuracy:61.821074%,valid loss:0.76172091,valid accuracy:63.849900%
epoch:8636/50000,train loss:0.78398716,train accuracy:61.821145%,valid loss:0.76171945,valid accuracy:63.849840%
epoch:8637/50000,train loss:0.78398635,train accuracy:61.821374%,valid loss:0.76171744,valid accuracy:63.849771%
epoch:8638/50000,train loss:0.78398708,train accuracy:61.821045%,valid loss:0.76171466,valid accuracy:63.849771%
epoch:8639/50000,train loss:0.78399271,train accuracy:61.820800%,valid loss:0.76171195,valid accuracy:63.849689%
epoch:8640/50000,train loss:0.78399645,train accuracy:61.820607%,valid loss:0.76170947,valid accuracy:63.849611%
epoch:8641/50000,train loss:0.78399851,train accuracy:61.820264%,valid loss:0.76170788,valid accuracy:63.849615%
epoch:8642/50000,train loss:0.78400790,train accuracy:61.819693%,valid loss:0.76170768,valid accuracy:63.848990%
epoch:8643/50000,train loss:0.78401247,train accuracy:61.819404%,valid loss:0.76170652,valid accuracy:63.848814%
epoch:8644/50000,train loss:0.78401293,train accuracy:61.819511%,valid loss:0.76170538,valid accuracy:63.848754%
loss is 0.761705, is decreasing!! save moddel
epoch:8645/50000,train loss:0.78401148,train accuracy:61.819761%,valid loss:0.76170381,valid accuracy:63.848681%
loss is 0.761704, is decreasing!! save moddel
epoch:8646/50000,train loss:0.78401076,train accuracy:61.819863%,valid loss:0.76170328,valid accuracy:63.848427%
loss is 0.761703, is decreasing!! save moddel
epoch:8647/50000,train loss:0.78401013,train accuracy:61.819830%,valid loss:0.76170108,valid accuracy:63.848264%
loss is 0.761701, is decreasing!! save moddel
epoch:8648/50000,train loss:0.78400839,train accuracy:61.819682%,valid loss:0.76169821,valid accuracy:63.848204%
loss is 0.761698, is decreasing!! save moddel
epoch:8649/50000,train loss:0.78400541,train accuracy:61.819607%,valid loss:0.76169444,valid accuracy:63.848479%
loss is 0.761694, is decreasing!! save moddel
epoch:8650/50000,train loss:0.78400270,train accuracy:61.819559%,valid loss:0.76169088,valid accuracy:63.848307%
loss is 0.761691, is decreasing!! save moddel
epoch:8651/50000,train loss:0.78400037,train accuracy:61.819796%,valid loss:0.76169229,valid accuracy:63.848071%
epoch:8652/50000,train loss:0.78400877,train accuracy:61.819258%,valid loss:0.76169040,valid accuracy:63.847525%
loss is 0.761690, is decreasing!! save moddel
epoch:8653/50000,train loss:0.78401266,train accuracy:61.819023%,valid loss:0.76168884,valid accuracy:63.847335%
loss is 0.761689, is decreasing!! save moddel
epoch:8654/50000,train loss:0.78401085,train accuracy:61.818972%,valid loss:0.76169674,valid accuracy:63.846513%
epoch:8655/50000,train loss:0.78401044,train accuracy:61.819058%,valid loss:0.76170129,valid accuracy:63.846071%
epoch:8656/50000,train loss:0.78401199,train accuracy:61.818968%,valid loss:0.76170118,valid accuracy:63.845727%
epoch:8657/50000,train loss:0.78402871,train accuracy:61.818203%,valid loss:0.76170454,valid accuracy:63.845091%
epoch:8658/50000,train loss:0.78403259,train accuracy:61.817786%,valid loss:0.76170963,valid accuracy:63.844752%
epoch:8659/50000,train loss:0.78403581,train accuracy:61.817665%,valid loss:0.76171357,valid accuracy:63.844324%
epoch:8660/50000,train loss:0.78403981,train accuracy:61.817184%,valid loss:0.76171433,valid accuracy:63.844229%
epoch:8661/50000,train loss:0.78405501,train accuracy:61.816658%,valid loss:0.76171350,valid accuracy:63.843697%
epoch:8662/50000,train loss:0.78405514,train accuracy:61.816618%,valid loss:0.76171284,valid accuracy:63.843462%
epoch:8663/50000,train loss:0.78407054,train accuracy:61.815814%,valid loss:0.76171540,valid accuracy:63.843033%
epoch:8664/50000,train loss:0.78407492,train accuracy:61.815312%,valid loss:0.76172008,valid accuracy:63.842591%
epoch:8665/50000,train loss:0.78408154,train accuracy:61.814636%,valid loss:0.76172090,valid accuracy:63.842411%
epoch:8666/50000,train loss:0.78408507,train accuracy:61.814378%,valid loss:0.76172465,valid accuracy:63.841695%
epoch:8667/50000,train loss:0.78408641,train accuracy:61.814084%,valid loss:0.76172661,valid accuracy:63.841245%
epoch:8668/50000,train loss:0.78409064,train accuracy:61.813845%,valid loss:0.76173028,valid accuracy:63.840718%
epoch:8669/50000,train loss:0.78409156,train accuracy:61.813635%,valid loss:0.76172915,valid accuracy:63.840624%
epoch:8670/50000,train loss:0.78409340,train accuracy:61.813507%,valid loss:0.76172767,valid accuracy:63.840620%
epoch:8671/50000,train loss:0.78409241,train accuracy:61.813526%,valid loss:0.76172577,valid accuracy:63.840548%
epoch:8672/50000,train loss:0.78408962,train accuracy:61.813569%,valid loss:0.76172999,valid accuracy:63.839549%
epoch:8673/50000,train loss:0.78409155,train accuracy:61.813430%,valid loss:0.76172796,valid accuracy:63.839571%
epoch:8674/50000,train loss:0.78409172,train accuracy:61.813182%,valid loss:0.76172749,valid accuracy:63.839508%
epoch:8675/50000,train loss:0.78409629,train accuracy:61.812697%,valid loss:0.76172806,valid accuracy:63.839702%
epoch:8676/50000,train loss:0.78409979,train accuracy:61.812611%,valid loss:0.76173428,valid accuracy:63.838600%
epoch:8677/50000,train loss:0.78411462,train accuracy:61.811565%,valid loss:0.76173554,valid accuracy:63.838884%
epoch:8678/50000,train loss:0.78411687,train accuracy:61.811203%,valid loss:0.76173323,valid accuracy:63.838633%
epoch:8679/50000,train loss:0.78411802,train accuracy:61.810901%,valid loss:0.76174333,valid accuracy:63.838309%
epoch:8680/50000,train loss:0.78412023,train accuracy:61.810785%,valid loss:0.76174644,valid accuracy:63.837945%
epoch:8681/50000,train loss:0.78412484,train accuracy:61.810701%,valid loss:0.76174623,valid accuracy:63.837595%
epoch:8682/50000,train loss:0.78412508,train accuracy:61.810417%,valid loss:0.76174501,valid accuracy:63.837240%
epoch:8683/50000,train loss:0.78412618,train accuracy:61.810040%,valid loss:0.76174313,valid accuracy:63.837088%
epoch:8684/50000,train loss:0.78412650,train accuracy:61.810014%,valid loss:0.76174060,valid accuracy:63.837129%
epoch:8685/50000,train loss:0.78413092,train accuracy:61.809530%,valid loss:0.76173875,valid accuracy:63.837044%
epoch:8686/50000,train loss:0.78413158,train accuracy:61.809450%,valid loss:0.76173741,valid accuracy:63.836685%
epoch:8687/50000,train loss:0.78413422,train accuracy:61.809289%,valid loss:0.76173680,valid accuracy:63.836250%
epoch:8688/50000,train loss:0.78414197,train accuracy:61.808731%,valid loss:0.76174248,valid accuracy:63.835913%
epoch:8689/50000,train loss:0.78414971,train accuracy:61.808388%,valid loss:0.76175716,valid accuracy:63.835294%
epoch:8690/50000,train loss:0.78415334,train accuracy:61.808042%,valid loss:0.76175950,valid accuracy:63.834836%
epoch:8691/50000,train loss:0.78415710,train accuracy:61.807633%,valid loss:0.76176194,valid accuracy:63.834410%
epoch:8692/50000,train loss:0.78415948,train accuracy:61.807720%,valid loss:0.76176084,valid accuracy:63.834137%
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epoch:8858/50000,train loss:0.78422172,train accuracy:61.800189%,valid loss:0.76173341,valid accuracy:63.826119%
epoch:8859/50000,train loss:0.78421745,train accuracy:61.800212%,valid loss:0.76172554,valid accuracy:63.826395%
epoch:8860/50000,train loss:0.78421168,train accuracy:61.800530%,valid loss:0.76171922,valid accuracy:63.826965%
epoch:8861/50000,train loss:0.78420485,train accuracy:61.800920%,valid loss:0.76171343,valid accuracy:63.827240%
epoch:8862/50000,train loss:0.78420144,train accuracy:61.800871%,valid loss:0.76170624,valid accuracy:63.827343%
epoch:8863/50000,train loss:0.78419454,train accuracy:61.801208%,valid loss:0.76170125,valid accuracy:63.827653%
epoch:8864/50000,train loss:0.78419062,train accuracy:61.801243%,valid loss:0.76170102,valid accuracy:63.827778%
epoch:8865/50000,train loss:0.78418383,train accuracy:61.801667%,valid loss:0.76169579,valid accuracy:63.828083%
epoch:8866/50000,train loss:0.78418760,train accuracy:61.801618%,valid loss:0.76168918,valid accuracy:63.828203%
epoch:8867/50000,train loss:0.78418662,train accuracy:61.801714%,valid loss:0.76168387,valid accuracy:63.828302%
loss is 0.761684, is decreasing!! save moddel
epoch:8868/50000,train loss:0.78418006,train accuracy:61.802009%,valid loss:0.76167792,valid accuracy:63.828506%
loss is 0.761678, is decreasing!! save moddel
epoch:8869/50000,train loss:0.78417563,train accuracy:61.801939%,valid loss:0.76167388,valid accuracy:63.828798%
loss is 0.761674, is decreasing!! save moddel
epoch:8870/50000,train loss:0.78417601,train accuracy:61.802126%,valid loss:0.76167175,valid accuracy:63.828997%
loss is 0.761672, is decreasing!! save moddel
epoch:8871/50000,train loss:0.78417924,train accuracy:61.801655%,valid loss:0.76166650,valid accuracy:63.829087%
loss is 0.761666, is decreasing!! save moddel
epoch:8872/50000,train loss:0.78417584,train accuracy:61.801883%,valid loss:0.76166250,valid accuracy:63.829111%
loss is 0.761663, is decreasing!! save moddel
epoch:8873/50000,train loss:0.78417586,train accuracy:61.801723%,valid loss:0.76165917,valid accuracy:63.829042%
loss is 0.761659, is decreasing!! save moddel
epoch:8874/50000,train loss:0.78418195,train accuracy:61.801374%,valid loss:0.76165734,valid accuracy:63.828603%
loss is 0.761657, is decreasing!! save moddel
epoch:8875/50000,train loss:0.78417993,train accuracy:61.801411%,valid loss:0.76165385,valid accuracy:63.828711%
loss is 0.761654, is decreasing!! save moddel
epoch:8876/50000,train loss:0.78417746,train accuracy:61.801522%,valid loss:0.76165266,valid accuracy:63.828629%
loss is 0.761653, is decreasing!! save moddel
epoch:8877/50000,train loss:0.78418034,train accuracy:61.801368%,valid loss:0.76164951,valid accuracy:63.828669%
loss is 0.761650, is decreasing!! save moddel
epoch:8878/50000,train loss:0.78417925,train accuracy:61.801529%,valid loss:0.76165190,valid accuracy:63.828508%
epoch:8879/50000,train loss:0.78417805,train accuracy:61.801633%,valid loss:0.76165560,valid accuracy:63.828334%
epoch:8880/50000,train loss:0.78417885,train accuracy:61.801778%,valid loss:0.76165475,valid accuracy:63.828261%
epoch:8881/50000,train loss:0.78417739,train accuracy:61.801865%,valid loss:0.76165604,valid accuracy:63.828209%
epoch:8882/50000,train loss:0.78417993,train accuracy:61.801702%,valid loss:0.76165571,valid accuracy:63.827851%
epoch:8883/50000,train loss:0.78417778,train accuracy:61.801953%,valid loss:0.76165465,valid accuracy:63.827975%
epoch:8884/50000,train loss:0.78417741,train accuracy:61.801840%,valid loss:0.76165344,valid accuracy:63.828188%
epoch:8885/50000,train loss:0.78417352,train accuracy:61.801924%,valid loss:0.76165161,valid accuracy:63.828303%
epoch:8886/50000,train loss:0.78417649,train accuracy:61.801656%,valid loss:0.76165185,valid accuracy:63.828230%
epoch:8887/50000,train loss:0.78417364,train accuracy:61.801813%,valid loss:0.76164805,valid accuracy:63.828074%
loss is 0.761648, is decreasing!! save moddel
epoch:8888/50000,train loss:0.78417159,train accuracy:61.801850%,valid loss:0.76164598,valid accuracy:63.828378%
loss is 0.761646, is decreasing!! save moddel
epoch:8889/50000,train loss:0.78418707,train accuracy:61.800861%,valid loss:0.76164628,valid accuracy:63.828380%
epoch:8890/50000,train loss:0.78418986,train accuracy:61.800603%,valid loss:0.76164925,valid accuracy:63.827327%
epoch:8891/50000,train loss:0.78419823,train accuracy:61.800280%,valid loss:0.76164827,valid accuracy:63.827158%
epoch:8892/50000,train loss:0.78420242,train accuracy:61.799878%,valid loss:0.76164721,valid accuracy:63.826901%
epoch:8893/50000,train loss:0.78421235,train accuracy:61.799210%,valid loss:0.76164581,valid accuracy:63.826656%
loss is 0.761646, is decreasing!! save moddel
epoch:8894/50000,train loss:0.78421942,train accuracy:61.798691%,valid loss:0.76164827,valid accuracy:63.826408%
epoch:8895/50000,train loss:0.78422192,train accuracy:61.798383%,valid loss:0.76164846,valid accuracy:63.826524%
epoch:8896/50000,train loss:0.78422299,train accuracy:61.798163%,valid loss:0.76164758,valid accuracy:63.826460%
epoch:8897/50000,train loss:0.78422838,train accuracy:61.797750%,valid loss:0.76164571,valid accuracy:63.826119%
loss is 0.761646, is decreasing!! save moddel
epoch:8898/50000,train loss:0.78422706,train accuracy:61.797825%,valid loss:0.76164325,valid accuracy:63.826143%
loss is 0.761643, is decreasing!! save moddel
epoch:8899/50000,train loss:0.78422418,train accuracy:61.797953%,valid loss:0.76164234,valid accuracy:63.826241%
loss is 0.761642, is decreasing!! save moddel
epoch:8900/50000,train loss:0.78423107,train accuracy:61.797365%,valid loss:0.76164105,valid accuracy:63.826428%
loss is 0.761641, is decreasing!! save moddel
epoch:8901/50000,train loss:0.78423227,train accuracy:61.797228%,valid loss:0.76164367,valid accuracy:63.825543%
epoch:8902/50000,train loss:0.78423238,train accuracy:61.797025%,valid loss:0.76164261,valid accuracy:63.825769%
epoch:8903/50000,train loss:0.78423421,train accuracy:61.796673%,valid loss:0.76164154,valid accuracy:63.825867%
epoch:8904/50000,train loss:0.78423081,train accuracy:61.796979%,valid loss:0.76164485,valid accuracy:63.825781%
epoch:8905/50000,train loss:0.78423410,train accuracy:61.796595%,valid loss:0.76164405,valid accuracy:63.825257%
epoch:8906/50000,train loss:0.78423430,train accuracy:61.796650%,valid loss:0.76164759,valid accuracy:63.825360%
epoch:8907/50000,train loss:0.78423515,train accuracy:61.796757%,valid loss:0.76164735,valid accuracy:63.825463%
epoch:8908/50000,train loss:0.78423795,train accuracy:61.796462%,valid loss:0.76167468,valid accuracy:63.823790%
epoch:8909/50000,train loss:0.78424432,train accuracy:61.795924%,valid loss:0.76167366,valid accuracy:63.823630%
epoch:8910/50000,train loss:0.78424573,train accuracy:61.795934%,valid loss:0.76167926,valid accuracy:63.823571%
epoch:8911/50000,train loss:0.78424526,train accuracy:61.795980%,valid loss:0.76168192,valid accuracy:63.823481%
epoch:8912/50000,train loss:0.78424473,train accuracy:61.796047%,valid loss:0.76168784,valid accuracy:63.823313%
epoch:8913/50000,train loss:0.78424221,train accuracy:61.796175%,valid loss:0.76168649,valid accuracy:63.823065%
epoch:8914/50000,train loss:0.78424021,train accuracy:61.796210%,valid loss:0.76168563,valid accuracy:63.823172%
epoch:8915/50000,train loss:0.78423955,train accuracy:61.796300%,valid loss:0.76168484,valid accuracy:63.822942%
epoch:8916/50000,train loss:0.78424131,train accuracy:61.796174%,valid loss:0.76168531,valid accuracy:63.823146%
epoch:8917/50000,train loss:0.78424328,train accuracy:61.795876%,valid loss:0.76169899,valid accuracy:63.822793%
epoch:8918/50000,train loss:0.78424742,train accuracy:61.795790%,valid loss:0.76169802,valid accuracy:63.822817%
epoch:8919/50000,train loss:0.78425459,train accuracy:61.795367%,valid loss:0.76170658,valid accuracy:63.822649%
epoch:8920/50000,train loss:0.78425608,train accuracy:61.795168%,valid loss:0.76170791,valid accuracy:63.821859%
epoch:8921/50000,train loss:0.78425959,train accuracy:61.795177%,valid loss:0.76171585,valid accuracy:63.821870%
epoch:8922/50000,train loss:0.78427197,train accuracy:61.794336%,valid loss:0.76171724,valid accuracy:63.821164%
epoch:8923/50000,train loss:0.78427734,train accuracy:61.793784%,valid loss:0.76171837,valid accuracy:63.820737%
epoch:8924/50000,train loss:0.78428118,train accuracy:61.793271%,valid loss:0.76172911,valid accuracy:63.820573%
epoch:8925/50000,train loss:0.78428950,train accuracy:61.792711%,valid loss:0.76173133,valid accuracy:63.820064%
epoch:8926/50000,train loss:0.78429647,train accuracy:61.792504%,valid loss:0.76173939,valid accuracy:63.820005%
epoch:8927/50000,train loss:0.78430488,train accuracy:61.792058%,valid loss:0.76174266,valid accuracy:63.820296%
epoch:8928/50000,train loss:0.78431140,train accuracy:61.791784%,valid loss:0.76174485,valid accuracy:63.820312%
epoch:8929/50000,train loss:0.78432353,train accuracy:61.791184%,valid loss:0.76174534,valid accuracy:63.820248%
epoch:8930/50000,train loss:0.78432668,train accuracy:61.790817%,valid loss:0.76174762,valid accuracy:63.820168%
epoch:8931/50000,train loss:0.78433257,train accuracy:61.790441%,valid loss:0.76175163,valid accuracy:63.820000%
epoch:8932/50000,train loss:0.78435076,train accuracy:61.789515%,valid loss:0.76175513,valid accuracy:63.819378%
epoch:8933/50000,train loss:0.78435759,train accuracy:61.788816%,valid loss:0.76176179,valid accuracy:63.818647%
epoch:8934/50000,train loss:0.78437371,train accuracy:61.788094%,valid loss:0.76177941,valid accuracy:63.818116%
epoch:8935/50000,train loss:0.78438151,train accuracy:61.787604%,valid loss:0.76178679,valid accuracy:63.817608%
epoch:8936/50000,train loss:0.78439666,train accuracy:61.786675%,valid loss:0.76179520,valid accuracy:63.816807%
epoch:8937/50000,train loss:0.78441083,train accuracy:61.786029%,valid loss:0.76180898,valid accuracy:63.816294%
epoch:8938/50000,train loss:0.78442429,train accuracy:61.785293%,valid loss:0.76182028,valid accuracy:63.815410%
epoch:8939/50000,train loss:0.78443504,train accuracy:61.784606%,valid loss:0.76183304,valid accuracy:63.814623%
epoch:8940/50000,train loss:0.78444616,train accuracy:61.783949%,valid loss:0.76184287,valid accuracy:63.814002%
epoch:8941/50000,train loss:0.78445545,train accuracy:61.783332%,valid loss:0.76185707,valid accuracy:63.813394%
epoch:8942/50000,train loss:0.78447077,train accuracy:61.782346%,valid loss:0.76186607,valid accuracy:63.812811%
epoch:8943/50000,train loss:0.78447599,train accuracy:61.781710%,valid loss:0.76187263,valid accuracy:63.811570%
epoch:8944/50000,train loss:0.78448291,train accuracy:61.781455%,valid loss:0.76187916,valid accuracy:63.810980%
epoch:8945/50000,train loss:0.78449670,train accuracy:61.780560%,valid loss:0.76188756,valid accuracy:63.810289%
epoch:8946/50000,train loss:0.78450722,train accuracy:61.780046%,valid loss:0.76190281,valid accuracy:63.809948%
epoch:8947/50000,train loss:0.78451921,train accuracy:61.779320%,valid loss:0.76190777,valid accuracy:63.809341%
epoch:8948/50000,train loss:0.78452606,train accuracy:61.779031%,valid loss:0.76191427,valid accuracy:63.809000%
epoch:8949/50000,train loss:0.78453161,train accuracy:61.778602%,valid loss:0.76192030,valid accuracy:63.808576%
epoch:8950/50000,train loss:0.78453862,train accuracy:61.778136%,valid loss:0.76192616,valid accuracy:63.808157%
epoch:8951/50000,train loss:0.78454457,train accuracy:61.777533%,valid loss:0.76192918,valid accuracy:63.807641%
epoch:8952/50000,train loss:0.78454650,train accuracy:61.777299%,valid loss:0.76193582,valid accuracy:63.807309%
epoch:8953/50000,train loss:0.78455050,train accuracy:61.777138%,valid loss:0.76194480,valid accuracy:63.806978%
epoch:8954/50000,train loss:0.78455451,train accuracy:61.776700%,valid loss:0.76195182,valid accuracy:63.806846%
epoch:8955/50000,train loss:0.78455999,train accuracy:61.776545%,valid loss:0.76196122,valid accuracy:63.806431%
epoch:8956/50000,train loss:0.78456921,train accuracy:61.775913%,valid loss:0.76196462,valid accuracy:63.806012%
epoch:8957/50000,train loss:0.78457166,train accuracy:61.775473%,valid loss:0.76196788,valid accuracy:63.805751%
epoch:8958/50000,train loss:0.78458322,train accuracy:61.774776%,valid loss:0.76198153,valid accuracy:63.805253%
epoch:8959/50000,train loss:0.78458387,train accuracy:61.774569%,valid loss:0.76198626,valid accuracy:63.805196%
epoch:8960/50000,train loss:0.78458609,train accuracy:61.774242%,valid loss:0.76200366,valid accuracy:63.804612%
epoch:8961/50000,train loss:0.78459033,train accuracy:61.773772%,valid loss:0.76200548,valid accuracy:63.804446%
epoch:8962/50000,train loss:0.78459150,train accuracy:61.773491%,valid loss:0.76201243,valid accuracy:63.804202%
epoch:8963/50000,train loss:0.78458999,train accuracy:61.773072%,valid loss:0.76201490,valid accuracy:63.804141%
epoch:8964/50000,train loss:0.78459287,train accuracy:61.772648%,valid loss:0.76202158,valid accuracy:63.803810%
epoch:8965/50000,train loss:0.78458982,train accuracy:61.772665%,valid loss:0.76202691,valid accuracy:63.803827%
epoch:8966/50000,train loss:0.78458980,train accuracy:61.772502%,valid loss:0.76203020,valid accuracy:63.803683%
epoch:8967/50000,train loss:0.78459047,train accuracy:61.772348%,valid loss:0.76203477,valid accuracy:63.803713%
epoch:8968/50000,train loss:0.78459096,train accuracy:61.772187%,valid loss:0.76203613,valid accuracy:63.803469%
epoch:8969/50000,train loss:0.78459119,train accuracy:61.772044%,valid loss:0.76203755,valid accuracy:63.803043%
epoch:8970/50000,train loss:0.78458753,train accuracy:61.771942%,valid loss:0.76205241,valid accuracy:63.802272%
epoch:8971/50000,train loss:0.78458362,train accuracy:61.771901%,valid loss:0.76205738,valid accuracy:63.802029%
epoch:8972/50000,train loss:0.78458174,train accuracy:61.771784%,valid loss:0.76206436,valid accuracy:63.801781%
epoch:8973/50000,train loss:0.78457814,train accuracy:61.771812%,valid loss:0.76206745,valid accuracy:63.801106%
epoch:8974/50000,train loss:0.78457568,train accuracy:61.771817%,valid loss:0.76207080,valid accuracy:63.800410%
epoch:8975/50000,train loss:0.78457483,train accuracy:61.771530%,valid loss:0.76207812,valid accuracy:63.800002%
epoch:8976/50000,train loss:0.78457355,train accuracy:61.771303%,valid loss:0.76209609,valid accuracy:63.799497%
epoch:8977/50000,train loss:0.78457336,train accuracy:61.771015%,valid loss:0.76210094,valid accuracy:63.799002%
epoch:8978/50000,train loss:0.78457074,train accuracy:61.770933%,valid loss:0.76210380,valid accuracy:63.798406%
epoch:8979/50000,train loss:0.78456967,train accuracy:61.770541%,valid loss:0.76210630,valid accuracy:63.797724%
epoch:8980/50000,train loss:0.78456654,train accuracy:61.770418%,valid loss:0.76210804,valid accuracy:63.797137%
epoch:8981/50000,train loss:0.78456199,train accuracy:61.770652%,valid loss:0.76210950,valid accuracy:63.796712%
epoch:8982/50000,train loss:0.78455581,train accuracy:61.770686%,valid loss:0.76211068,valid accuracy:63.796191%
epoch:8983/50000,train loss:0.78455001,train accuracy:61.770781%,valid loss:0.76210906,valid accuracy:63.795575%
epoch:8984/50000,train loss:0.78454300,train accuracy:61.770911%,valid loss:0.76210688,valid accuracy:63.794968%
epoch:8985/50000,train loss:0.78453758,train accuracy:61.771159%,valid loss:0.76211126,valid accuracy:63.794999%
epoch:8986/50000,train loss:0.78453218,train accuracy:61.771286%,valid loss:0.76211006,valid accuracy:63.794479%
epoch:8987/50000,train loss:0.78452839,train accuracy:61.771279%,valid loss:0.76211002,valid accuracy:63.793698%
epoch:8988/50000,train loss:0.78452496,train accuracy:61.771310%,valid loss:0.76211302,valid accuracy:63.793239%
epoch:8989/50000,train loss:0.78451962,train accuracy:61.771408%,valid loss:0.76211290,valid accuracy:63.792405%
epoch:8990/50000,train loss:0.78451669,train accuracy:61.771526%,valid loss:0.76211284,valid accuracy:63.791894%
epoch:8991/50000,train loss:0.78451346,train accuracy:61.771354%,valid loss:0.76211679,valid accuracy:63.791461%
epoch:8992/50000,train loss:0.78450912,train accuracy:61.771360%,valid loss:0.76211913,valid accuracy:63.790599%
epoch:8993/50000,train loss:0.78450568,train accuracy:61.771251%,valid loss:0.76211884,valid accuracy:63.789723%
epoch:8994/50000,train loss:0.78450278,train accuracy:61.771078%,valid loss:0.76211812,valid accuracy:63.789299%
epoch:8995/50000,train loss:0.78449943,train accuracy:61.771187%,valid loss:0.76213149,valid accuracy:63.788524%
epoch:8996/50000,train loss:0.78449739,train accuracy:61.770819%,valid loss:0.76213980,valid accuracy:63.787939%
epoch:8997/50000,train loss:0.78449277,train accuracy:61.770667%,valid loss:0.76213965,valid accuracy:63.786895%
epoch:8998/50000,train loss:0.78448814,train accuracy:61.770687%,valid loss:0.76214025,valid accuracy:63.786485%
epoch:8999/50000,train loss:0.78448294,train accuracy:61.770605%,valid loss:0.76214159,valid accuracy:63.785710%
epoch:9000/50000,train loss:0.78447736,train accuracy:61.770480%,valid loss:0.76214474,valid accuracy:63.785113%
epoch:9001/50000,train loss:0.78447223,train accuracy:61.770424%,valid loss:0.76214725,valid accuracy:63.784351%
epoch:9002/50000,train loss:0.78446799,train accuracy:61.770553%,valid loss:0.76214922,valid accuracy:63.783933%
epoch:9003/50000,train loss:0.78446458,train accuracy:61.770517%,valid loss:0.76214809,valid accuracy:63.783163%
epoch:9004/50000,train loss:0.78445899,train accuracy:61.770672%,valid loss:0.76215286,valid accuracy:63.782658%
epoch:9005/50000,train loss:0.78445388,train accuracy:61.770613%,valid loss:0.76215802,valid accuracy:63.781945%
epoch:9006/50000,train loss:0.78444984,train accuracy:61.770294%,valid loss:0.76216352,valid accuracy:63.781540%
epoch:9007/50000,train loss:0.78444660,train accuracy:61.770199%,valid loss:0.76216488,valid accuracy:63.780671%
epoch:9008/50000,train loss:0.78444203,train accuracy:61.770181%,valid loss:0.76216732,valid accuracy:63.779984%
epoch:9009/50000,train loss:0.78444049,train accuracy:61.770103%,valid loss:0.76217263,valid accuracy:63.779389%
epoch:9010/50000,train loss:0.78443557,train accuracy:61.769874%,valid loss:0.76217428,valid accuracy:63.778277%
epoch:9011/50000,train loss:0.78442923,train accuracy:61.770128%,valid loss:0.76218255,valid accuracy:63.777830%
epoch:9012/50000,train loss:0.78443105,train accuracy:61.769920%,valid loss:0.76219280,valid accuracy:63.777053%
epoch:9013/50000,train loss:0.78442599,train accuracy:61.769971%,valid loss:0.76219469,valid accuracy:63.776350%
epoch:9014/50000,train loss:0.78442031,train accuracy:61.770042%,valid loss:0.76219412,valid accuracy:63.775755%
epoch:9015/50000,train loss:0.78441477,train accuracy:61.770207%,valid loss:0.76219534,valid accuracy:63.775334%
epoch:9016/50000,train loss:0.78441101,train accuracy:61.770215%,valid loss:0.76219546,valid accuracy:63.774744%
epoch:9017/50000,train loss:0.78440480,train accuracy:61.770368%,valid loss:0.76219679,valid accuracy:63.774236%
epoch:9018/50000,train loss:0.78440196,train accuracy:61.770379%,valid loss:0.76219654,valid accuracy:63.773625%
epoch:9019/50000,train loss:0.78439594,train accuracy:61.770574%,valid loss:0.76219732,valid accuracy:63.773130%
epoch:9020/50000,train loss:0.78438926,train accuracy:61.770585%,valid loss:0.76219747,valid accuracy:63.772536%
epoch:9021/50000,train loss:0.78438677,train accuracy:61.770565%,valid loss:0.76220018,valid accuracy:63.771488%
epoch:9022/50000,train loss:0.78438372,train accuracy:61.770328%,valid loss:0.76220144,valid accuracy:63.770712%
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epoch:19926/50000,train loss:0.84522812,train accuracy:57.927634%,valid loss:0.82808998,valid accuracy:58.520382%
epoch:19927/50000,train loss:0.84523240,train accuracy:57.927320%,valid loss:0.82809515,valid accuracy:58.520094%
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epoch:20091/50000,train loss:0.84555389,train accuracy:57.904050%,valid loss:0.82850481,valid accuracy:58.485589%
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epoch:20098/50000,train loss:0.84553981,train accuracy:57.904877%,valid loss:0.82849814,valid accuracy:58.486202%
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epoch:37815/50000,train loss:0.86975200,train accuracy:56.163321%,valid loss:0.85169519,valid accuracy:56.211057%
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epoch:49964/50000,train loss:0.87059937,train accuracy:56.033979%,valid loss:0.84935706,valid accuracy:56.186969%
epoch:49965/50000,train loss:0.87059824,train accuracy:56.034057%,valid loss:0.84935605,valid accuracy:56.187047%
epoch:49966/50000,train loss:0.87059914,train accuracy:56.033972%,valid loss:0.84935522,valid accuracy:56.187252%
epoch:49967/50000,train loss:0.87059813,train accuracy:56.034010%,valid loss:0.84935566,valid accuracy:56.187266%
epoch:49968/50000,train loss:0.87059897,train accuracy:56.033964%,valid loss:0.84935480,valid accuracy:56.187362%
epoch:49969/50000,train loss:0.87059871,train accuracy:56.033946%,valid loss:0.84935538,valid accuracy:56.187375%
epoch:49970/50000,train loss:0.87059933,train accuracy:56.033879%,valid loss:0.84935505,valid accuracy:56.187483%
epoch:49971/50000,train loss:0.87059991,train accuracy:56.033826%,valid loss:0.84935443,valid accuracy:56.187546%
epoch:49972/50000,train loss:0.87060063,train accuracy:56.033733%,valid loss:0.84935390,valid accuracy:56.187798%
epoch:49973/50000,train loss:0.87060042,train accuracy:56.033702%,valid loss:0.84935434,valid accuracy:56.187760%
epoch:49974/50000,train loss:0.87060063,train accuracy:56.033649%,valid loss:0.84935489,valid accuracy:56.187790%
epoch:49975/50000,train loss:0.87060103,train accuracy:56.033651%,valid loss:0.84935585,valid accuracy:56.187705%
epoch:49976/50000,train loss:0.87060139,train accuracy:56.033636%,valid loss:0.84935814,valid accuracy:56.187543%
epoch:49977/50000,train loss:0.87060187,train accuracy:56.033577%,valid loss:0.84935876,valid accuracy:56.187490%
epoch:49978/50000,train loss:0.87060215,train accuracy:56.033545%,valid loss:0.84935801,valid accuracy:56.187568%
epoch:49979/50000,train loss:0.87060170,train accuracy:56.033528%,valid loss:0.84935768,valid accuracy:56.187695%
epoch:49980/50000,train loss:0.87060224,train accuracy:56.033445%,valid loss:0.84935780,valid accuracy:56.187790%
epoch:49981/50000,train loss:0.87060193,train accuracy:56.033460%,valid loss:0.84935806,valid accuracy:56.187864%
epoch:49982/50000,train loss:0.87060602,train accuracy:56.033295%,valid loss:0.84935846,valid accuracy:56.187892%
epoch:49983/50000,train loss:0.87060808,train accuracy:56.033171%,valid loss:0.84935809,valid accuracy:56.187936%
epoch:49984/50000,train loss:0.87060862,train accuracy:56.033171%,valid loss:0.84935779,valid accuracy:56.188077%
epoch:49985/50000,train loss:0.87060845,train accuracy:56.033165%,valid loss:0.84935760,valid accuracy:56.188171%
epoch:49986/50000,train loss:0.87060830,train accuracy:56.033198%,valid loss:0.84935761,valid accuracy:56.188213%
epoch:49987/50000,train loss:0.87061019,train accuracy:56.033061%,valid loss:0.84935940,valid accuracy:56.188081%
epoch:49988/50000,train loss:0.87060985,train accuracy:56.033087%,valid loss:0.84935924,valid accuracy:56.188059%
epoch:49989/50000,train loss:0.87060952,train accuracy:56.033114%,valid loss:0.84935921,valid accuracy:56.188134%
epoch:49990/50000,train loss:0.87061450,train accuracy:56.032867%,valid loss:0.84936074,valid accuracy:56.187989%
epoch:49991/50000,train loss:0.87061463,train accuracy:56.032868%,valid loss:0.84936053,valid accuracy:56.188051%
epoch:49992/50000,train loss:0.87061429,train accuracy:56.032853%,valid loss:0.84936083,valid accuracy:56.188013%
epoch:49993/50000,train loss:0.87061613,train accuracy:56.032809%,valid loss:0.84936210,valid accuracy:56.187961%
epoch:49994/50000,train loss:0.87061865,train accuracy:56.032722%,valid loss:0.84936253,valid accuracy:56.188039%
epoch:49995/50000,train loss:0.87062030,train accuracy:56.032634%,valid loss:0.84936428,valid accuracy:56.187921%
epoch:49996/50000,train loss:0.87062137,train accuracy:56.032526%,valid loss:0.84936497,valid accuracy:56.187996%
epoch:49997/50000,train loss:0.87062072,train accuracy:56.032550%,valid loss:0.84936647,valid accuracy:56.187979%
epoch:49998/50000,train loss:0.87062092,train accuracy:56.032533%,valid loss:0.84936644,valid accuracy:56.188136%
epoch:49999/50000,train loss:0.87062211,train accuracy:56.032445%,valid loss:0.84936679,valid accuracy:56.188272%